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2020 – today
- 2024
[c65]Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman, Taesung Park:
One-Step Diffusion with Distribution Matching Distillation. CVPR 2024: 6613-6623- [c64]Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park:
Editable Image Elements for Controllable Synthesis. ECCV (2) 2024: 39-56 - [c63]Yotam Nitzan
, Zongze Wu, Richard Zhang, Eli Shechtman, Daniel Cohen-Or, Taesung Park, Michaël Gharbi:
Lazy Diffusion Transformer for Interactive Image Editing. ECCV (24) 2024: 55-72 - [c62]Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park:
Distilling Diffusion Models Into Conditional GANs. ECCV (28) 2024: 428-447 - [i23]Xiaojuan Wang, Taesung Park, Yang Zhou, Eli Shechtman, Richard Zhang:
Jump Cut Smoothing for Talking Heads. CoRR abs/2401.04718 (2024) - [i22]Xi Chen, Yang Cai, Yuan Wu, Bo Xiong, Taesung Park:
Multi-Scale Semantic Segmentation with Modified MBConv Blocks. CoRR abs/2402.04618 (2024) - [i21]Gaurav Parmar, Taesung Park, Srinivasa Narasimhan, Jun-Yan Zhu:
One-Step Image Translation with Text-to-Image Models. CoRR abs/2403.12036 (2024) - [i20]Nupur Kumari, Grace Su, Richard Zhang, Taesung Park, Eli Shechtman, Jun-Yan Zhu:
Customizing Text-to-Image Diffusion with Camera Viewpoint Control. CoRR abs/2404.12333 (2024) - [i19]Yotam Nitzan, Zongze Wu, Richard Zhang, Eli Shechtman, Daniel Cohen-Or, Taesung Park, Michaël Gharbi:
Lazy Diffusion Transformer for Interactive Image Editing. CoRR abs/2404.12382 (2024) - [i18]Yiran Xu, Taesung Park, Richard Zhang, Yang Zhou, Eli Shechtman, Feng Liu, Jia-Bin Huang, Difan Liu:
VideoGigaGAN: Towards Detail-rich Video Super-Resolution. CoRR abs/2404.12388 (2024) - [i17]Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park:
Editable Image Elements for Controllable Synthesis. CoRR abs/2404.16029 (2024) - [i16]Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park:
Distilling Diffusion Models into Conditional GANs. CoRR abs/2405.05967 (2024) - [i15]Tianwei Yin, Michaël Gharbi, Taesung Park, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman:
Improved Distribution Matching Distillation for Fast Image Synthesis. CoRR abs/2405.14867 (2024) - 2023
- [c61]Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park:
Scaling up GANs for Text-to-Image Synthesis. CVPR 2023: 10124-10134 - [c60]Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman:
Domain Expansion of Image Generators. CVPR 2023: 15933-15942 - [c59]Songwei Ge, Taesung Park, Jun-Yan Zhu, Jia-Bin Huang:
Expressive Text-to-Image Generation with Rich Text. ICCV 2023: 7511-7522 - [c58]Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Fei-Fei Li, Jiajun Wu, Stefano Ermon, Percy Liang:
Holistic Evaluation of Text-to-Image Models. NeurIPS 2023 - [i14]Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman:
Domain Expansion of Image Generators. CoRR abs/2301.05225 (2023) - [i13]Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park:
Scaling up GANs for Text-to-Image Synthesis. CoRR abs/2303.05511 (2023) - [i12]Songwei Ge, Taesung Park, Jun-Yan Zhu, Jia-Bin Huang:
Expressive Text-to-Image Generation with Rich Text. CoRR abs/2304.06720 (2023) - [i11]Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Benita Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Li Fei-Fei, Jiajun Wu, Stefano Ermon, Percy Liang:
Holistic Evaluation of Text-To-Image Models. CoRR abs/2311.04287 (2023) - [i10]Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman, Taesung Park:
One-step Diffusion with Distribution Matching Distillation. CoRR abs/2311.18828 (2023) - 2022
- [j87]Chanwoo Park, Boram Kim, Taesung Park:
DeepHisCoM: deep learning pathway analysis using hierarchical structural component models. Briefings Bioinform. 23(5) (2022) - [j86]Seungyoon Nam, Sungyoung Lee, Sungjin Park, Jinhyuk Lee, Aron Park, Yon Hui Kim, Taesung Park:
PATHOME-Drug: a subpathway-based polypharmacology drug-repositioning method. Bioinform. 38(2): 444-452 (2022) - [j85]Suhyun Hwangbo, Sungyoung Lee, Seungyeoun Lee, Heungsun Hwang, Inyoung Kim, Taesung Park:
Kernel-based hierarchical structural component models for pathway analysis. Bioinform. 38(11): 3078-3086 (2022) - [j84]Sun Ah Kim, Nayeon Kang, Taesung Park:
Hierarchical Structured Component Analysis for Microbiome Data Using Taxonomy Assignments. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1302-1312 (2022) - [j83]Difan Liu, Sandesh Shetty, Tobias Hinz, Matthew Fisher, Richard Zhang, Taesung Park, Evangelos Kalogerakis:
ASSET: autoregressive semantic scene editing with transformers at high resolutions. ACM Trans. Graph. 41(4): 74:1-74:12 (2022) - [c57]Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros:
BlobGAN: Spatially Disentangled Scene Representations. ECCV (15) 2022: 616-635 - [i9]Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros:
BlobGAN: Spatially Disentangled Scene Representations. CoRR abs/2205.02837 (2022) - [i8]Difan Liu, Sandesh Shetty, Tobias Hinz, Matthew Fisher, Richard Zhang, Taesung Park, Evangelos Kalogerakis:
ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions. CoRR abs/2205.12231 (2022) - 2021
- [b1]Taesung Park:
Machine Learning for Deep Image Manipulation. University of California, Berkeley, USA, 2021 - [j82]Mira Park, Hoe-Bin Jeong, Jong-Hyun Lee, Taesung Park:
Spatial rank-based multifactor dimensionality reduction to detect gene-gene interactions for multivariate phenotypes. BMC Bioinform. 22(1): 480 (2021) - [j81]Taewan Goo, Kyulhee Han, Catherine Apio, Taesung Park:
Analysis of COVID-19 genetic risk susceptibility using UK Biobank SNP genotype data. Int. J. Data Min. Bioinform. 25(1/2): 1-16 (2021) - [j80]Md. Kamruzzaman, Yonggab Kim, Yeni Lim, Oran Kwon, Taesung Park:
Evaluation of statistical methods for the analysis of crossover designs with repeated measurements. Int. J. Data Min. Bioinform. 25(1/2): 86-102 (2021) - [c56]Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang:
Contrastive Feature Loss for Image Prediction. ICCVW 2021: 1934-1943 - [i7]Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang:
Contrastive Feature Loss for Image Prediction. CoRR abs/2111.06934 (2021) - 2020
- [j79]Ik-Soo Huh, Sunghoon Choi, Youjin Kim, Soo-yeon Park, Oran Kwon, Taesung Park:
Two-stage clustering analysis to detect pattern change of biomarker expression between experimental conditions. Int. J. Data Min. Bioinform. 23(4): 299-317 (2020) - [j78]Suhyun Hwangbo, Se Ik Kim, Untack Cho, Dae-Shik Suh, Yongsang Song, Taesung Park:
Systematic investigation of hyperparameters on performance of deep neural networks: application to ovarian cancer phenotypes. Int. J. Data Min. Bioinform. 24(1): 1-15 (2020) - [j77]Prasoon Joshi, Seokho Jeong, Taesung Park:
Sparse superlayered neural network-based multi-omics cancer subtype classification. Int. J. Data Min. Bioinform. 24(1): 58-73 (2020) - [j76]TaeJin Ahn, Taewan Goo, Chan-hee Lee, Sungmin Kim, Kyullhee Han, Sangick Park, Taesung Park:
Deep learning-based classification and interpretation of gene expression data from cancer and normal tissues. Int. J. Data Min. Bioinform. 24(2): 121-139 (2020) - [j75]Kyullhee Han, Hyeonjung Ham, Se Ik Kim, Yongsang Song, Taesung Park, TaeJin Ahn:
Ensemble of deep learning models to predict platinum resistance in high grade serous ovarian cancer. Int. J. Data Min. Bioinform. 24(3): 220-237 (2020) - [c55]Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu:
Contrastive Learning for Unpaired Image-to-Image Translation. ECCV (9) 2020: 319-345 - [c54]Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang:
Swapping Autoencoder for Deep Image Manipulation. NeurIPS 2020 - [e2]Taesung Park, Young-Rae Cho, Xiaohua Hu, Illhoi Yoo, Hyun Goo Woo, Jianxin Wang, Julio C. Facelli, Seungyoon Nam, Mingon Kang:
IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020, Virtual Event, South Korea, December 16-19, 2020. IEEE 2020, ISBN 978-1-7281-6215-7 [contents] - [i6]Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang:
Swapping Autoencoder for Deep Image Manipulation. CoRR abs/2007.00653 (2020) - [i5]Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu:
Contrastive Learning for Unpaired Image-to-Image Translation. CoRR abs/2007.15651 (2020) - [i4]Jay Shenoy, Edward Kim, Xiangyu Yue, Taesung Park, Daniel J. Fremont, Alberto L. Sangiovanni-Vincentelli, Sanjit Seshia:
A Customizable Dynamic Scenario Modeling and Data Generation Platform for Autonomous Driving. CoRR abs/2011.14551 (2020)
2010 – 2019
- 2019
- [j74]Ik-Soo Huh, Xin Wu, Taesung Park, Soojin V. Yi:
Detecting differential DNA methylation from sequencing of bisulfite converted DNA of diverse species. Briefings Bioinform. 20(1): 33-46 (2019) - [j73]Hyung Sun Kim, Changwoo Yi, Yongkang Kim, Uhnmee Park, Woong Kook, Bermseok Oh, Hyuk Kim, Taesung Park:
Topological data analysis can extract sub-groups with high incidence rates of Type 2 diabetes. Int. J. Data Min. Bioinform. 22(1): 44-60 (2019) - [j72]Mira Park, Eunbin Choi, Heonsu Lee, Yongkang Kim, Taesung Park:
Exploratory analysis for detecting population structures by iterative pruning based on independent component analysis. Int. J. Data Min. Bioinform. 22(1): 61-74 (2019) - [c53]Yonggab Kim, Md. Kamruzzaman, Yeni Lim, Oran Kwon, Taesung Park:
Comparison of Statistical Models for Cross-over design. BIBM 2019: 1211-1213 - [c52]Ik-Soo Huh, Sunghoon Choi, Youjin Kim, Soo-yeon Park, Oran Kwon, Taesung Park:
Two stage pattern clustering analysis in cross-over experimental design. BIBM 2019: 1977-1981 - [c51]Suhyun Hwangbo, Se Ik Kim, Untack Cho, Yongsang Song, Taesung Park:
Identification of hyperparameters with high effects on performance of deep neural networks: application to clinicopathological data of ovarian cancer. BIBM 2019: 1982-1987 - [c50]Prasoon Joshi, Seokho Jeong, Taesung Park:
Cancer Subtype Classification based on Superlayered Neural Network. BIBM 2019: 1988-1992 - [c49]Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu:
Semantic Image Synthesis With Spatially-Adaptive Normalization. CVPR 2019: 2337-2346 - [i3]Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu:
Semantic Image Synthesis with Spatially-Adaptive Normalization. CoRR abs/1903.07291 (2019) - 2018
- [j71]Seungyeoun Lee, Donghee Son, Yongkang Kim, Wenbao Yu, Taesung Park:
Unified Cox model based multifactor dimensionality reduction method for gene-gene interaction analysis of the survival phenotype. BioData Min. 11(1): 27:1-27:13 (2018) - [j70]Yongkang Kim, Sungyoung Lee, Sungkyoung Choi, Jin-Young Jang, Taesung Park:
Hierarchical structural component modeling of microRNA-mRNA integration analysis. BMC Bioinform. 19-S(4): 25-34 (2018) - [j69]Sungyoung Lee, Yongkang Kim, Sungkyoung Choi, Heungsun Hwang, Taesung Park:
Pathway-based approach using hierarchical components of rare variants to analyze multiple phenotypes. BMC Bioinform. 19-S(4): 85-97 (2018) - [j68]Sungtae Kim, Sungkyoung Choi, Jung-Hwan Yoon, Youngsoo Kim, Seungyeoun Lee, Taesung Park:
Drug response prediction model using a hierarchical structural component modeling method. BMC Bioinform. 19-S(9): 117-128 (2018) - [j67]Min-Seok Kwon, Sangseob Leem, Joon Yoon, Taesung Park:
GxGrare: gene-gene interaction analysis method for rare variants from high-throughput sequencing data. BMC Syst. Biol. 12(S-2): 21-31 (2018) - [j66]You-Jung Lee, Hyein Kim, Taesung Park, Mira Park:
Gene-gene interaction analysis for quantitative trait using cluster-based multifactor dimensionality reduction method. Int. J. Data Min. Bioinform. 20(1): 1-11 (2018) - [j65]Yongjun Jo, Hyojin Lee, Oran Kwon, Taesung Park:
Determining sample size for cross-over designs with multiple groups. Int. J. Data Min. Bioinform. 20(1): 36-46 (2018) - [j64]Sunghwan Bae, Taesung Park:
Risk prediction of type 2 diabetes using common and rare variants. Int. J. Data Min. Bioinform. 20(1): 77-90 (2018) - [j63]Suhyun Hwangbo, Jin-Young Jang, Bermseok Oh, Atsuko Imai-Okazaki, Jurg Ott, Taesung Park:
Association test for rare variants using the hamming distance. Int. J. Data Min. Bioinform. 21(4): 301-314 (2018) - [j62]TaeJin Ahn, Nayeon Kang, Yonggab Kim, Se Ik Kim, Yongsang Song, Taesung Park:
Predicting survival outcomes in ovarian cancer using gene expression data. Int. J. Data Min. Bioinform. 21(4): 339-351 (2018) - [j61]Sangseob Leem, Dae Ho Lee, Taesung Park:
SPARTA: super-fast permutation approach to approximate extremely low p-values. Int. J. Data Min. Bioinform. 21(4): 352-364 (2018) - [j60]Sungkyoung Choi, Sungyoung Lee, Yongkang Kim, Heungsun Hwang, Taesung Park:
HisCoM-GGI: Hierarchical structural component analysis of gene-gene interactions. J. Bioinform. Comput. Biol. 16(6): 1840026:1-1840026:25 (2018) - [j59]Ik-Soo Huh, Isabel Mendizabal, Taesung Park, Soojin V. Yi:
Functional conservation of sequence determinants at rapidly evolving regulatory regions across mammals. PLoS Comput. Biol. 14(10) (2018) - [j58]Hye-Young Jung, Heawon Choi, Taesung Park:
Fuzzy heaping mechanism for heaped count data with imprecision. Soft Comput. 22(14): 4585-4594 (2018) - [c48]TaeJin Ahn, Taewan Goo, Chan-hee Lee, Sungmin Kim, Kyullhee Han, Sangick Park, Taesung Park:
Deep Learning-based Identification of Cancer or Normal Tissue using Gene Expression Data. BIBM 2018: 1748-1752 - [c47]TaeJin Ahn, Nayeon Kang, Yonggab Kim, Taesung Park:
Gene expression based prediction of prognostic outcome in ovarian cancer. BIBM 2018: 1753-1757 - [c46]Hyung Sun Kim, Changwoo Yi, Yongkang Kim, Uhnmee Park, Woong Kook, Hyuk Kim, Taesung Park:
Topological data analysis can extract subgroups with high incidence rates of Type 2 diabetes. BIBM 2018: 1758 - [c45]Sangseob Leem, Taesung Park:
An approximation method of extremely low p-values using permutation test. BIBM 2018: 1759-1763 - [c44]Mira Park, Eunbin Choi, Yongkang Kim, Taesung Park:
Detecting population structures by independent component analysis. BIBM 2018: 1784-1787 - [c43]Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell:
CyCADA: Cycle-Consistent Adversarial Domain Adaptation. ICML 2018: 1994-2003 - 2017
- [j57]Sangseob Leem, Taesung Park:
An empirical fuzzy multifactor dimensionality reduction method for detecting gene-gene interactions. BMC Genom. 18(S2) (2017) - [j56]Yongchan Kwon, Young-Geun Choi, Taesung Park, Andreas Ziegler, Myunghee Cho Paik:
Generalized estimating equations with stabilized working correlation structure. Comput. Stat. Data Anal. 106: 1-11 (2017) - [j55]Sunghoon Choi, Soo-yeon Park, Hoejin Kim, Oran Kwon, Taesung Park:
Multivariate summary approach to omics data from crossover design with two repeated factors. Int. J. Data Min. Bioinform. 18(3): 196-209 (2017) - [j54]Yongkang Kim, Gyu-Tae Kim, Min-Seok Kwon, Taesung Park:
Statistical quality control analysis of high-dimensional omics data. Int. J. Data Min. Bioinform. 18(3): 210-222 (2017) - [j53]Hyunjin Park, Seungyeoun Lee, Ye Jin Kim, Myung-Sook Choi, Taesung Park:
Analysis of clustered RNA-seq data. Int. J. Data Min. Bioinform. 19(1): 19-31 (2017) - [j52]Chanyoung Lee, Seungyeoun Lee, Taesung Park:
Statistical methods for metagenomics data analysis. Int. J. Data Min. Bioinform. 19(4): 366-385 (2017) - [c42]Sunghwan Bae, Taesung Park:
Risk prediction using common and rare genetic variants: Application to Type 2 diabetes. BIBM 2017: 1757-1760 - [c41]Yongjun Jo, Taesung Park:
Sample size calculation for comparing multiple groups in cross-over designs. BIBM 2017: 1769-1771 - [c40]Yoojung Lee, Hyein Kim, Taesung Park, Mira Park:
Cluster-based multifactor dimensionality reduction method to identify gene-gene interactions for quantitative traits in genome-wide studies. BIBM 2017: 1772-1776 - [c39]Chanyoung Lee, Seungyeoun Lee, Taesung Park:
A comparison study of statistical methods for the analysis metagenome data. BIBM 2017: 1777-1781 - [c38]Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros:
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks. ICCV 2017: 2242-2251 - [i2]Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros:
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks. CoRR abs/1703.10593 (2017) - [i1]Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell:
CyCADA: Cycle-Consistent Adversarial Domain Adaptation. CoRR abs/1711.03213 (2017) - 2016
- [j51]Sungyoung Lee, Sungkyoung Choi, Young Jin Kim, Bong-Jo Kim, Heungsun Hwang, Taesung Park:
Pathway-based approach using hierarchical components of collapsed rare variants. Bioinform. 32(17): 586-594 (2016) - [j50]Wenbao Yu, Seungyeoun Lee, Taesung Park:
A unified model based multifactor dimensionality reduction framework for detecting gene-gene interactions. Bioinform. 32(17): 605-610 (2016) - [j49]Jaehoon Lee, Young Jin Kim, Juyoung Lee, Bong-Jo Kim, Seungyeoun Lee, Taesung Park:
Gene-set association tests for next-generation sequencing data. Bioinform. 32(17): 611-619 (2016) - [j48]Hye-Young Jung, Sangseob Leem, Sungyoung Lee, Taesung Park:
A novel fuzzy set based multifactor dimensionality reduction method for detecting gene-gene interaction. Comput. Biol. Chem. 65: 193-202 (2016) - [j47]Jungsoo Gim, Sungkyoung Choi, Jongho Im, Jae-Kwang Kim, Taesung Park:
A post-hoc genome-wide association study using matched samples. Int. J. Data Min. Bioinform. 14(3): 197-209 (2016) - [j46]Ik-Soo Huh, Taesung Park:
Multifactor dimensionality reduction analysis of multiple binary traits for gene-gene interaction. Int. J. Data Min. Bioinform. 14(4): 293-304 (2016) - [j45]Jungsoo Gim, Taesung Park:
The effect of impurity of reference peptides on normalisation in selected reaction monitoring experiments. Int. J. Data Min. Bioinform. 15(1): 1-9 (2016) - [j44]Rama Srikanth Mallavarapu, TaeJin Ahn, Subhankar Mukherjee, Ajit S. Bopardikar, Garima Agarwal, Taesung Park:
Estimating functional coupling between cancer gene sub-networks using novel interaction measures. Int. J. Data Min. Bioinform. 15(1): 10-21 (2016) - [j43]Seunghyun Lee, Taesung Park, Mira Park:
Principal variable approach to multipurpose SNP selection in genetic association studies. Int. J. Data Min. Bioinform. 16(1): 32-46 (2016) - [j42]Yongkang Kim, Min-Seok Kwon, Yonghwan Choi, Sung-Gon Yi, Junghyun Namkung, Sangjo Han, Wooil Kwon, Sun Whe Kim, Jin-Young Jang, Hyunsoo Kim, Youngsoo Kim, Seungyeoun Lee, Taesung Park:
Comparative studies for developing protein based cancer prediction model to maximise the ROC-AUC with various variable selection methods. Int. J. Data Min. Bioinform. 16(1): 64-76 (2016) - [j41]Haewon Choi, Hye-Young Jung, Taesung Park:
Statistical analysis for aggregated count data in genetic association studies. Int. J. Data Min. Bioinform. 16(1): 77-91 (2016) - [j40]Sohee Oh, Ik-Soo Huh, Seung Yeoun Lee, Taesung Park:
Analysis of multiple related phenotypes in genome-wide association studies. J. Bioinform. Comput. Biol. 14(5): 1644005:1-1644005:23 (2016) - [j39]Jungsoo Gim, Sungho Won, Taesung Park:
Conditional estimation of local pooled dispersion parameter in small-sample RNA-Seq data improves differential expression test. J. Bioinform. Comput. Biol. 14(5): 1644006:1-1644006:13 (2016) - [c37]Sunghoon Choi, Soo-yeon Park, Hoejin Kim, Oran Kwon, Taesung Park:
Analysis for doubly repeated omics data from crossover design. BIBM 2016: 1749-1752 - [c36]Gyu-Tae Kim, Yongkang Kim, Min-Seok Kwon, Taesung Park:
Quality control plot for high dimensional omics data. BIBM 2016: 1763-1766 - [c35]Hyunjin Park, Seungyeoun Lee, Ye Jin Kim, Myung-Sook Choi, Taesung Park:
Multivariate approach to the analysis of correlated RNA-seq data. BIBM 2016: 1783-1786 - 2015
- [j38]Sungho Won, Wonji Kim, Sungyoung Lee, Young Lee, Joohon Sung, Taesung Park:
Family-based association analysis: a fast and efficient method of multivariate association analysis with multiple variants. BMC Bioinform. 16: 46:1-46:14 (2015) - [j37]Wenbao Yu, Taesung Park:
Two simple algorithms on linear combination of multiple biomarkers to maximize partial area under the ROC curve. Comput. Stat. Data Anal. 88: 15-27 (2015) - [c34]Ik-Soo Huh, Soojin V. Yi, Taesung Park:
A test for detecting differentially methylated regions. BIBM 2015: 305-308 - [c33]Yongkang Kim, Seungyeoun Lee, Min-Seok Kwon, Ahrum Na, Yonghwan Choi, Sung-Gon Yi, Junghyun Namkung, Sangjo Han, Meejoo Kang, Sun Whe Kim, Jin-Young Jang, Yikwon Kim, Youngsoo Kim, Taesung Park:
Developing cancer prediction model based on stepwise selection by AUC measure for proteomics data. BIBM 2015: 1345-1350 - [c32]Sungkyoung Choi, Sungyoung Lee, Ik-Soo Huh, Heungsun Hwang, Taesung Park:
Competitive pathway analysis using Structural Equation Models (CPA-SEM) for gene expression data. BIBM 2015: 1351-1358 - [c31]Haewon Choi, Hye-Young Jung, Taesung Park:
Genetic association tests for cigarattes per day. BIBM 2015: 1359-1362 - [c30]Min-Seok Kwon, Sungyoung Lee, Yongkang Kim, Taesung Park:
VizEpis : A visualization and mapping tool for interpreting epistasis. BIBM 2015: 1363-1366 - 2014
- [j36]Shinuk Kim, Taesung Park, Mark A. Kon:
Cancer survival classification using integrated data sets and intermediate information. Artif. Intell. Medicine 62(1): 23-31 (2014) - [j35]TaeJin Ahn, Eunjin Lee, Nam Huh, Taesung Park:
Personalized identification of altered pathways in cancer using accumulated normal tissue data. Bioinform. 30(17): 422-429 (2014) - [j34]Sungkyoung Choi, Sungyoung Lee, Sven Cichon, Markus M. Nöthen, Christoph Lange, Taesung Park, Sungho Won:
FARVAT: a family-based rare variant association test. Bioinform. 30(22): 3197-3205 (2014) - [j33]Haseong Kim, Taesung Park, Erol Gelenbe:
Identifying disease candidate genes via large-scale gene network analysis. Int. J. Data Min. Bioinform. 10(2): 175-188 (2014) - [c29]Jungsoo Gim, Taesung Park:
A normalization method for multiple reaction monitoring (MRM) data. BIBM 2014: 1-4 - [c28]Jungsoo Gim, Sungkyoung Choi, Jongho Im, Jae-Kwang Kim, Taesung Park:
Genome-wide association analysis with matched samples discloses additional novel risk loci. BIBM 2014: 5-10 - [c27]Ik-Soo Huh, Taesung Park:
Multifactor dimendionality reduction analysis for gene-gene interaction of multiple binary traits. BIBM 2014: 22-26 - [c26]Rama Srikanth Mallavarapu, TaeJin Ahn, Subhankar Mukherjee, Ajit S. Bopardikar, Garima Agarwal, Taesung Park:
Estimating cancer gene pathway proximity using network interaction. BIBM 2014: 27-31 - [c25]Yongkang Kim, Taesung Park:
Identifying differentially expressed genes for ordinal phenotypes. BIBM 2014: 193-196 - [c24]Min-Seok Kwon, Yongkang Kim, Seungyeoun Lee, Junghyun Namkung, Taegyun Yun, Sung-Gon Yi, Sangjo Han, Meejoo Kang, Sun Whe Kim, Jin-Young Jang, Taesung Park:
Biomarker development for pancreatic ductal adenocarcinoma using integrated analysis of mRNA and miRNA expression. BIBM 2014: 273-278 - [c23]Sookyoung Song, Taesung Park:
Case Study: A Visual Analytics System, Sapientia. HCI (26) 2014: 264-267 - 2013
- [j32]Jiin Choi, Taesung Park:
Multivariate generalized multifactor dimensionality reduction to detect gene-gene interactions. BMC Syst. Biol. 7(S-6): S15 (2013) - [j31]Hyung-Seok Choi, Youngchul Kim, Kwang-Hyun Cho, Taesung Park:
Integrative analysis of time course microarray data and DNA sequence data via log-linear models for identifying dynamic transcriptional regulatory networks. Int. J. Data Min. Bioinform. 7(1): 38-57 (2013) - [c22]TaeJin Ahn, Taesung Park:
Pathway based identification of rare mutation effect in cancer. BIBM 2013: 1-6 - [c21]Shinuk Kim, Taesung Park, Mark A. Kon:
Computational methods for cancer survival classification using intermediate information. IWBBIO 2013: 517-525 - 2012
- [j30]Seungyeoun Lee, Min-Seok Kwon, Jung Mi Oh, Taesung Park:
Gene-gene interaction analysis for the survival phenotype based on the Cox model. Bioinform. 28(18): 582-588 (2012) - [j29]Sohee Oh, Jaehoon Lee, Min-Seok Kwon, Bruce Weir, Kyooseob Ha, Taesung Park:
A novel method to identify high order gene-gene interactions in genome-wide association studies: Gene-based MDR. BMC Bioinform. 13(S-9): S5 (2012) - [j28]Dankyu Yoon, Young Jin Kim, Taesung Park:
Phenotype prediction from genome-wide association studies: application to smoking behaviors. BMC Syst. Biol. 6(S-2): S11 (2012) - [j27]Min-Seok Kwon, Kyunga Kim, Sungyoung Lee, Taesung Park:
cuGWAM: Genome-wide Association Multifactor Dimensionality reduction using CUDA-enabled high-performance graphics processing unit. Int. J. Data Min. Bioinform. 6(5): 471-481 (2012) - [j26]Kyunghee Han, Kyee-Zu Kim, Jung Mi Oh, In-Wha Kim, Kyungim Kim, Taesung Park:
Unbalanced sample size effect on genome-wide population differentiation studies. Int. J. Data Min. Bioinform. 6(5): 490-504 (2012) - [j25]TaeJin Ahn, Kyunghee Park, Dae-Soon Son, Nam Huh, Sohee Oh, Taejung Bae, Jungsun Park, Ji-Hyun Lee, Kyoohyoung Rho, Sunghoon Kim, Taesung Park, Kyusang Lee:
Selecting SNPs for pharmacogenomic association study. Int. J. Data Min. Bioinform. 6(5): 521-534 (2012) - [c20]Seung-Ryong Han, Jongsul Min, Taesung Park, Yongje Kim:
Photometric and geometric rectification for stereoscopic images. Three-Dimensional Image Processing (3DIP) and Applications 2012: 829007 - [c19]Kyunga Kim, Min-Seok Kwon, Sungyoung Lee, Junghyun Namkung, Ming D. Li, Taesung Park:
GxG-Viztool: A program for visualizing gene-gene interactions in genetic association analysis. BIBM Workshops 2012: 838-843 - [c18]S. N. Nagabhushan, TaeJin Ahn, M. R. Srikanth, Taesung Park, Ajit S. Bopardikar, Rangavittal Narayanan:
A data aggregation framework for cancer subtype discovery. BIBM Workshops 2012: 844-846 - [c17]Jungsoo Gim, Taesung Park:
Identifying differential expression for RNA-seq data with no replication. BIBM Workshops 2012: 847-851 - [c16]Seo-Jin Bang, Yong-Gang Kim, Taesung Park:
Joint selection of SNPs for improving prediction in genome-wide association studies. BIBM Workshops 2012: 852-858 - 2011
- [j24]Seungmook Lee, Min-Seok Kwon, Hyoung-Joo Lee, Young-Ki Paik, Haixu Tang, Jae K. Lee, Taesung Park:
Enhanced peptide quantification using spectral count clustering and cluster abundance. BMC Bioinform. 12: 423 (2011) - [j23]Sung Yi, Taesung Park:
Integrated analysis of the heterogeneous microarray data. BMC Bioinform. 12(S-5): S3 (2011) - [j22]Jaehoon Lee, Soyeon Ahn, Sohee Oh, Bruce Weir, Taesung Park:
SNP-PRAGE: SNP-based parametric robust analysis of gene set enrichment. BMC Syst. Biol. 5(S-2): S11 (2011) - [c15]Sohee Oh, Jaehoon Lee, Min-Seok Kwon, Kyunga Kim, Taesung Park:
Efficient and Fast Analysis for Detecting High Order Gene-by-Gene Interactions in a Genome-Wide Association Study. BIBM 2011: 83-88 - [c14]Sungyoung Lee, Min-Seok Kwon, Ik-Soo Huh, Taesung Park:
CUDA-LR: CUDA-accelerated logistic regression analysis tool for gene-gene interaction for genome-wide association study. BIBM Workshops 2011: 691-695 - [c13]Min-Seok Kwon, Kyunga Kim, Sungyoung Lee, Wonil Chung, Sung-Gon Yi, Junghyun Namkung, Taesung Park:
GWAS-GMDR: A program package for genome-wide scan of gene-gene interactions with covariate adjustment based on multifactor dimensionality reduction. BIBM Workshops 2011: 703-707 - [c12]Ik-Soo Huh, Sohee Oh, Taesung Park:
A chi-square test for detecting multiple joint genetic variants in genome-wide association studies. BIBM Workshops 2011: 708-713 - [c11]Seungyeoun Lee, Jinseok Oh, Min-Seok Kwon, Taesung Park:
Gene-gene interaction analysis for the survival phenotype based on the standardized residuals from parametric regression models. BIBM Workshops 2011: 725-729 - 2010
- [j21]Changsik Kim, Jiwon Choi, Hyunjin Park, Yunsun Park, Jungsun Park, Taesung Park, Kwanghui Cho, Young Yang, Sukjoon Yoon:
Global analysis of microarray data reveals intrinsic properties in gene expression and tissue selectivity. Bioinform. 26(14): 1723-1730 (2010) - [j20]Xiaoming Wang, Taesung Park, Keumhee Chough Carriere:
Variable selection via combined penalization for high-dimensional data analysis. Comput. Stat. Data Anal. 54(10): 2230-2243 (2010) - [c10]Seungmook Lee, Min-Seok Kwon, Hyoung-Joo Lee, Young-Ki Paik, Jae K. Lee, Taesung Park:
FISH: Finding of identical spectra set for Homogenous peptide using two-stage clustering algorithm. BIBM Workshops 2010: 73-76 - [c9]TaeJin Ahn, Kyunghee Park, Dae-Soon Son, Nam Huh, Kyusang Lee, Taejung Bae, Jungsun Park, Sohee Oh, Ji-Hyun Lee, Kyoohyoung Rho, Sung Kim, Taesung Park:
Selecting SNPs for pharmacogenomic association study. BIBM Workshops 2010: 312-317 - [c8]Min-Seok Kwon, Kyunga Kim, Sungyoung Lee, Taesung Park:
cuGWAM: Genome-wide association multifactor dimensionality reduction using CUDA-enabled high-performance graphics processing unit. BIBM Workshops 2010: 336-340 - [c7]Ik-Soo Huh, Sohee Oh, Eunjin Lee, Taesung Park:
Compairing quantitative trait analysis to qualitative trait analysis for complex traits disease: A genome wide association study for hyperlipidemia. BIBM Workshops 2010: 341-346 - [c6]Kyunghee Han, Kyee-Zu Kim, Taesung Park:
Unbalanced sample size effect on the genome-wide population differentiation studies. BIBM Workshops 2010: 347-352 - [c5]Sungyoung Lee, Sohee Oh, Min-Seok Kwon, Seungyeoun Lee, Taesung Park:
Two-way interaction analysis of obesity trait from Korean population using generalized MDR. BIBM Workshops 2010: 353-358 - [c4]Sung-Gon Yi, Taesung Park:
Integrated analysis of the various types of microarray data using linear-mixed effects models. BIBM 2010: 373-379 - [e1]Taesung Park, Stephen Kwok-Wing Tsui, Luonan Chen, Michael K. Ng, Limsoon Wong, Xiaohua Hu:
2010 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2010, Hong Kong, China, December 18-21, 2010, Proceedings. IEEE Computer Society 2010, ISBN 978-1-4244-8306-8 [contents]
2000 – 2009
- 2009
- [j19]Junghyun Namkung, Kyunga Kim, Sung-Gon Yi, Wonil Chung, Min-Seok Kwon, Taesung Park:
New evaluation measures for multifactor dimensionality reduction classifiers in gene-gene interaction analysis. Bioinform. 25(3): 338-345 (2009) - [j18]Youngchul Kim, Stefan Bekiranov, Jae K. Lee, Taesung Park:
Double error shrinkage method for identifying protein binding sites observed by tiling arrays with limited replication. Bioinform. 25(19): 2486-2491 (2009) - [j17]Taeyoung Hwang, Taesung Park:
Identification of differentially expressed subnetworks based on multivariate ANOVA. BMC Bioinform. 10 (2009) - [j16]Sung-Gon Yi, Yoon-Jeong Joo, Taesung Park:
Rank-Based Clustering Analysis for the Time-Course microarray Data. J. Bioinform. Comput. Biol. 7(1): 75-91 (2009) - [j15]Haseong Kim, Jae K. Lee, Taesung Park:
Inference of Large-Scale Gene Regulatory Networks Using Regression-Based Network Approach. J. Bioinform. Comput. Biol. 7(4): 717-735 (2009) - [c3]Min A. Jhun, Taesung Park:
Clustering Method to Identify Gene Sets with Similar Expression Profiles in Adjacent Chromosomal Regions. IWANN (1) 2009: 837-844 - 2008
- [j14]Junil Kim, Tae-Geon Kim, Sung Hoon Jung, Jeong-Rae Kim, Taesung Park, Pat Heslop-Harrison, Kwang-Hyun Cho:
Evolutionary design principles of modules that control cellular differentiation: consequences for hysteresis and multistationarity. Bioinform. 24(13): 1516-1522 (2008) - [j13]Sung-Gon Yi, Taesung Park, Jae K. Lee:
Response projected clustering for direct association with physiological and clinical response data. BMC Bioinform. 9 (2008) - [j12]Sohee Oh, Keumhee Chough Carriere, Taesung Park:
Model diagnostic plots for repeated measures data using the generalized estimating equations approach. Comput. Stat. Data Anal. 53(1): 222-232 (2008) - 2007
- [j11]Yujin Chung, Seung Yeoun Lee, Robert C. Elston, Taesung Park:
Odds ratio based multifactor-dimensionality reduction method for detecting gene-gene interactions. Bioinform. 23(1): 71-76 (2007) - [j10]Seung Yeoun Lee, Yujin Chung, Robert C. Elston, Youngchul Kim, Taesung Park:
Log-linear model-based multifactor dimensionality reduction method to detect gene-gene interactions. Bioinform. 23(19): 2589-2595 (2007) - [j9]Haseong Kim, Jae K. Lee, Taesung Park:
Boolean networks using the chi-square test for inferring large-scale gene regulatory networks. BMC Bioinform. 8 (2007) - [j8]Dankyu Yoon, Eun-Kyung Lee, Taesung Park:
Robust imputation method for missing values in microarray data. BMC Bioinform. 8(S-2) (2007) - [j7]Taesung Park, Kiwoong Kim, Sung-Gon Yi, Jin Hyuk Kim, Yong-Sung Lee, Seungyeoun Lee:
Spot Intensity Ratio Statistics in Two-Channel microarray Experiments. J. Bioinform. Comput. Biol. 5(4): 865-873 (2007) - [j6]Hyoung-Gook Kim, Jin Young Kim, Taesung Park:
Video bookmark based on soundtrack identification and two-stage search for interactive-television. IEEE Trans. Consumer Electron. 53(4): 1712-1717 (2007) - 2006
- [j5]Taesung Park, Sung-Gon Yi, Young Kee Shin, Seung Yeoun Lee:
Combining multiple microarrays in the presence of controlling variables. Bioinform. 22(14): 1682-1689 (2006) - [j4]Eun-Kyung Lee, Sung-Gon Yi, Taesung Park:
arrayQCplot: software for checking the quality of microarray data. Bioinform. 22(18): 2305-2307 (2006) - [c2]Seungyoon Nam, Seungmook Lee, Sanghyuk Lee, Seokmin Shin, Taesung Park:
Bayesian Hierarchical Models for Serial Analysis of Gene Expression. VDMB 2006: 29-39 - 2005
- [c1]Haseong Kim, Jae K. Lee, Taesung Park:
Improvement of Computing Times in Boolean Networks Using Chi-square Tests. Systems Biology and Regulatory Genomics 2005: 70-79 - 2004
- [j3]Dankyu Yoon, Sung-Gon Yi, Ju-Han Kim, Taesung Park:
Two-stage normalization using background intensities in cDNA microarray data. BMC Bioinform. 5: 97 (2004) - 2003
- [j2]Taesung Park, Sung-Gon Yi, Seungmook Lee, Seung Yeoun Lee, Dong-Hyun Yoo, Jun-Ik Ahn, Yong-Sung Lee:
Statistical tests for identifying differentially expressed genes in time-course microarray experiments. Bioinform. 19(6): 694-703 (2003) - [j1]Taesung Park, Sung-Gon Yi, Sung-Hyun Kang, Seung Yeoun Lee, Yong-Sung Lee, Richard Simon:
Evaluation of normalization methods for microarray data. BMC Bioinform. 4: 33 (2003)
Coauthor Index
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