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ORCIDDo Kyoon Kim
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2020 – today
- 2024
[j22]Doyun Kwon, Young Mi Jung, Hyung-Chul Lee, Tae Kyong Kim, Kwangsoo Kim, Garam Lee, Dokyoon Kim, Seung-Bo Lee, Seung Mi Lee:
Non-invasive prediction of massive transfusion during surgery using intraoperative hemodynamic monitoring data. J. Biomed. Informatics 156: 104680 (2024)- [j21]Jeong-Hyeon Moon
, Garam Lee, Seung Mi Lee, Jiho Ryu, Dokyoon Kim, Kyung-Ah Sohn:
Frequency Domain Deep Learning With Non-Invasive Features for Intraoperative Hypotension Prediction. IEEE J. Biomed. Health Informatics 28(10): 5718-5728 (2024) - 2023
- [j20]Yonghyun Nam, Sang-Hyuk Jung, Jae-Seung Yun, Vivek Sriram, Pankhuri Singhal, Marta Byrska-Bishop, Anurag Verma, Hyunjung Shin, Woong-Yang Park, Hong-Hee Won, Dokyoon Kim:
Discovering comorbid diseases using an inter-disease interactivity network based on biobank-scale PheWAS data. Bioinform. 39(1) (2023) - [c14]Jacob S. Leiby, Matthew E. Lee, Eun Kyung Choe, Dokyoon Kim:
Data-Driven Classification of Fatty Liver From 3D Unenhanced Abdominal CT Scans. MLMI@MICCAI (2) 2023: 264-272 - [i1]Shunian Xiang, Patrick J. Lawrence, Bo Peng, Chienwei Chiang, Dokyoon Kim, Li Shen, Xia Ning:
Modeling Path Importance for Effective Alzheimer's Disease Drug Repurposing. CoRR abs/2310.15211 (2023) - 2022
- [j19]Hung Mai, Jingxuan Bao, Paul M. Thompson, Dokyoon Kim, Li Shen:
Identifying genes associated with brain volumetric differences through tissue specific transcriptomic inference from GWAS summary data. BMC Bioinform. 23-S(3): 398 (2022) - [c13]Daniele Pala, Brian Lee, Xia Ning, Dokyoon Kim, Li Shen:
Mediation Analysis and Mixed-Effects Models for the Identification of Stage-specific Imaging Genetics Patterns in Alzheimer's Disease. BIBM 2022: 2667-2673 - [c12]Jacob S. Leiby, Jie Hao, Gyeong Hoon Kang, Ji Won Park, Dokyoon Kim:
Attention-based multiple instance learning with self-supervision to predict microsatellite instability in colorectal cancer from histology whole-slide images. EMBC 2022: 3068-3071 - 2021
- [j18]So Yeon Kim, Eun Kyung Choe, Manu K. Shivakumar, Dokyoon Kim, Kyung-Ah Sohn:
Multi-layered network-based pathway activity inference using directed random walks: application to predicting clinical outcomes in urologic cancer. Bioinform. 37(16): 2405-2413 (2021) - [j17]Jaesik Kim, Dokyoon Kim, Kyung-Ah Sohn:
HiG2Vec: hierarchical representations of Gene Ontology and genes in the Poincaré ball. Bioinform. 37(18): 2971-2980 (2021) - [c11]Mansu Kim, Jaesik Kim, Jeffrey Qu, Heng Huang, Qi Long, Kyung-Ah Sohn, Dokyoon Kim, Li Shen:
Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data. BIBM 2021: 1381-1384 - [c10]Brett K. Beaulieu-Jones, Christian Darabos, Dokyoon Kim, Anurag Verma, Shilpa Nadimpalli Kobren:
Innovative methodological approaches for data integration to derive patterns across diverse, large-scale biomedical datasets. PSB 2021 - [c9]Dokyoon Kim, Ju Han Kim, Jason H. Moore:
Translational Bioinformatics: Integrating Electronic Health Record and Omics Data. PSB 2021 - 2020
- [j16]Jason H. Moore, Ian Barnett, Mary Regina Boland, Yong Chen, George Demiris, Graciela Gonzalez-Hernandez, Daniel S. Herman, Blanca E. Himes, Rebecca A. Hubbard, Dokyoon Kim, Jeffrey S. Morris, Danielle L. Mowery, Marylyn D. Ritchie, Li Shen, Ryan J. Urbanowicz, John H. Holmes:
Ideas for how informaticians can get involved with COVID-19 research. BioData Min. 13(1): 3 (2020) - [j15]Sangwoo Lee, Eun Kyung Choe, So Yeon Kim, Hua Sun Kim, Kyu Joo Park, Dokyoon Kim:
Liver imaging features by convolutional neural network to predict the metachronous liver metastasis in stage I-III colorectal cancer patients based on preoperative abdominal CT scan. BMC Bioinform. 21-S(13): 382 (2020) - [c8]Shilpa Nadimpalli Kobren, Brett K. Beaulieu-Jones, Christian Darabos, Dokyoon Kim, Anurag Verma:
Session Introduction. PSB 2020: 286-294
2010 – 2019
- 2019
- [c7]Shefali Setia Verma, Anurag Verma, Dokyoon Kim, Christian Darabos:
Session Introduction. PSB 2019: 1-7 - 2018
- [j14]Shefali S. Verma, Anastasia Lucas, Xinyuan Zhang, Yogasudha Veturi, Scott M. Dudek, Binglan Li, Ruowang Li, Ryan J. Urbanowicz, Jason H. Moore, Dokyoon Kim, Marylyn D. Ritchie:
Collective feature selection to identify crucial epistatic variants. BioData Min. 11(1): 5:1-5:22 (2018) - [c6]Jason E. Miller, Manu K. Shivakumar, Shannon L. Risacher, Andrew J. Saykin, SeungGeun Lee, Kwangsik Nho, Dokyoon Kim:
Codon bias among synonymous rare variants is associated with Alzheimer's disease imaging biomarker. PSB 2018: 365-376 - 2017
- [j13]Dokyoon Kim, Ruowang Li, Anastasia Lucas, Shefali S. Verma, Scott M. Dudek, Marylyn D. Ritchie:
Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma. J. Am. Medical Informatics Assoc. 24(3): 577-587 (2017) - [j12]Dokyoon Kim, Anna Okula Basile, Lisa Bang, Emrin Horgusluoglu, SeungGeun Lee, Marylyn D. Ritchie, Andrew J. Saykin, Kwangsik Nho:
Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer's disease. BMC Medical Informatics Decis. Mak. 17(S-1): 61:1-61:7 (2017) - 2016
- [j11]Ruowang Li, Scott M. Dudek, Dokyoon Kim, Molly A. Hall, Yukiko Bradford, Peggy L. Peissig, Murray H. Brilliant, James G. Linneman, Catherine A. McCarty, Le Bao, Marylyn D. Ritchie:
Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network. BioData Min. 9: 18 (2016) - [c5]Dokyoon Kim, Anastasia Lucas, Joseph Glessner, Shefali S. Verma, Yukiko Bradford, Ruowang Li, Alex T. Frase, Hakon Hakonarson, Peggy L. Peissig, Murray H. Brilliant, Marylyn D. Ritchie:
Biofilter as a Functional Annotation Pipeline for Common and Rare Copy Number Burden. PSB 2016: 357-368 - 2015
- [j10]Dokyoon Kim, Je-Gun Joung, Kyung-Ah Sohn, Hyunjung Shin, Yu Rang Park, Marylyn D. Ritchie, Ju Han Kim:
Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction. J. Am. Medical Informatics Assoc. 22(1): 109-120 (2015) - [j9]Dokyoon Kim, Ruowang Li, Scott M. Dudek, Marylyn D. Ritchie:
Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer. J. Biomed. Informatics 56: 220-228 (2015) - [c4]Dokyoon Kim, Ruowang Li, Scott M. Dudek, John R. Wallace, Marylyn D. Ritchie:
Binning Somatic Mutations Based on Biological Knowledge for Predicting Survival: An Application in Renal Cell Carcinoma. Pacific Symposium on Biocomputing 2015: 96-107 - 2014
- [j8]Do Kyoon Kim, Ruowang Li, Scott M. Dudek, Alex T. Frase, Sarah A. Pendergrass, Marylyn D. Ritchie:
Knowledge-driven genomic interactions: an application in ovarian cancer. BioData Min. 7: 20 (2014) - [c3]Ruowang Li, Do Kyoon Kim, Scott M. Dudek, Marylyn D. Ritchie:
An integrated analysis of genome-wide DNA methylation and genetic variants underlying etoposide-induced cytotoxicity in European and African populations. EvoApplications 2014: 928-938 - 2013
- [j7]Dokyoon Kim, Ruowang Li, Scott M. Dudek, Marylyn D. Ritchie:
ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network. BioData Min. 6: 23 (2013) - [j6]Dokyoon Kim, Hyunjung Shin, Je-Gun Joung, Su-Yeon Lee, Ju Han Kim:
Intra-relation reconstruction from inter-relation: miRNA to gene expression. BMC Syst. Biol. 7(S-3): S8 (2013) - [j5]Kyung-Ah Sohn, Dokyoon Kim, Jaehyun Lim, Ju Han Kim:
Relative impact of multi-layered genomic data on gene expression phenotypes in serous ovarian tumors. BMC Syst. Biol. 7(S-6): S9 (2013) - [j4]Kanghee Park, Amna Ali, Do Kyoon Kim, Yeolwoo An, Minkoo Kim, Hyunjung Shin:
Robust predictive model for evaluating breast cancer survivability. Eng. Appl. Artif. Intell. 26(9): 2194-2205 (2013) - [j3]Je-Gun Joung, Do Kyoon Kim, Kyung-Hwa Kim, Ju Han Kim:
Research and applications: Extracting coordinated patterns of DNA methylation and gene expression in ovarian cancer. J. Am. Medical Informatics Assoc. 20(4): 637-642 (2013) - [c2]Dokyoon Kim, Sungeun Kim, Shannon L. Risacher, Li Shen, Marylyn D. Ritchie, Michael W. Weiner, Andrew J. Saykin, Kwangsik Nho:
A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI). MBIA 2013: 159-169 - 2012
- [j2]Do Kyoon Kim, Hyunjung Shin, Young Soo Song, Ju Han Kim:
Synergistic effect of different levels of genomic data for cancer clinical outcome prediction. J. Biomed. Informatics 45(6): 1191-1198 (2012) - [c1]Do Kyoon Kim, Hyunjung Shin, Je-Gun Joung, Su-Yeon Lee, Ju Han Kim:
Intra-relation Reconstruction from Inter-relation: miRNA to Gene Expression. HISB 2012: 141 - 2010
- [j1]Young Soo Song, Hye Won Lee, Yu Rang Park, Do Kyoon Kim, Jaehyun Sim, Hyunseok Peter Kang, Ju Han Kim:
TMA-TAB: A spreadsheet-based document for exchange of tissue microarray data based on the tissue microarray-object model. J. Biomed. Informatics 43(3): 435-441 (2010)
Coauthor Index
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