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2020 – today
- 2023
[j16]Joung Min Choi
, Chaelin Park, Heejoon Chae:
meth-SemiCancer: a cancer subtype classification framework via semi-supervised learning utilizing DNA methylation profiles. BMC Bioinform. 24(1): 168 (2023)- [j15]Joung Min Choi, Heejoon Chae:
moBRCA-net: a breast cancer subtype classification framework based on multi-omics attention neural networks. BMC Bioinform. 24(1): 169 (2023) - 2021
- [j14]Joungmin Choi, Je-Keun Rhee, Heejoon Chae:
Cell Subtype Classification via Representation Learning Based on a Denoising Autoencoder for Single-Cell RNA Sequencing. IEEE Access 9: 14540-14548 (2021) - [j13]Inuk Jung, Joungmin Choi, Heejoon Chae:
Correction to "A Non-Negative Matrix Factorization Based Framework for the Analysis of Multi-Class Time-Series Single-Cell RNA-Seq Data". IEEE Access 9: 16567 (2021) - [j12]Minsik Oh, Sungjoon Park, Sun Kim, Heejoon Chae:
Machine learning-based analysis of multi-omics data on the cloud for investigating gene regulations. Briefings Bioinform. 22(1): 66-76 (2021) - [j11]Minsik Oh, Sungjoon Park, Sun Kim, Heejoon Chae:
Erratum to: Machine learning-based analysis of multi-omics data on the cloud for investigating gene regulations. Briefings Bioinform. 22(1): 607 (2021) - [j10]Sungjoon Park, Dohoon Lee, Youngkuk Kim, Sangsoo Lim, Heejoon Chae, Sun Kim:
BioVLAB-Cancer-Pharmacogenomics: tumor heterogeneity and pharmacogenomics analysis of multi-omics data from tumor on the cloud. Bioinform. 38(1): 275-277 (2021) - [c6]Hongryul Ahn, Inuk Jung, Heejoon Chae, Minsik Oh, Inyoung Kim, Sun Kim:
IDEA: Integrating Divisive and Ensemble-Agglomerate hierarchical clustering framework for arbitrary shape data. IEEE BigData 2021: 2791-2800 - 2020
- [j9]Inuk Jung, Joungmin Choi, Heejoon Chae:
A Non-Negative Matrix Factorization-Based Framework for the Analysis of Multi-Class Time-Series Single-Cell RNA-Seq Data. IEEE Access 8: 42342-42348 (2020) - [j8]Joungmin Choi, Heejoon Chae:
methCancer-gen: a DNA methylome dataset generator for user-specified cancer type based on conditional variational autoencoder. BMC Bioinform. 21(1): 181 (2020)
2010 – 2019
- 2019
- [j7]Hongryul Ahn, Inuk Jung, Heejoon Chae, Dongwon Kang, Woosuk Jung, Sun Kim:
HTRgene: a computational method to perform the integrated analysis of multiple heterogeneous time-series data: case analysis of cold and heat stress response signaling genes in Arabidopsis. BMC Bioinform. 20-S(16): 588:1-588:14 (2019) - 2018
- [j6]Seokjun Soe, Yoonjae Park, Heejoon Chae:
BiSpark: a Spark-based highly scalable aligner for bisulfite sequencing data. BMC Bioinform. 19(1): 472:1-472:9 (2018) - [j5]Joungmin Choi, Yoonjae Park, Sun Kim, Heejoon Chae:
Cloud-BS: A MapReduce-based bisulfite sequencing aligner on cloud. J. Bioinform. Comput. Biol. 16(6): 1840028:1-1840028:10 (2018) - [c5]Hongryul Ahn, Inuk Jung, Heejoon Chae, Dongwon Kang, Woosuk Jung, Sun Kim:
HTRgene: Integrating Multiple Heterogeneous Time-series Data to Investigate Cold and Heat Stress Response Signaling Genes in Arabidopsis. BIBM 2018: 393-398 - 2017
- [c4]Hongryul Ahn, Heejoon Chae, Woosuk Jung, Sun Kim:
Integration of heterogeneous time series gene expression data by clustering on time dimension. BigComp 2017: 332-335 - 2016
- [j4]Heejoon Chae, Sangseon Lee, Kenneth P. Nephew, Sun Kim:
Subtype-specific CpG island shore methylation and mutation patterns in 30 breast cancer cell lines. BMC Syst. Biol. 10(4): 433-443 (2016) - 2015
- [j3]Heejoon Chae, SungMin Rhee, Kenneth P. Nephew, Sun Kim:
BioVLAB-MMIA-NGS: microRNA-mRNA integrated analysis using high-throughput sequencing data. Bioinform. 31(2): 265-267 (2015) - 2013
- [j2]Heejoon Chae, Inuk Jung, Hyungro Lee, Suresh Marru, Seong-Whan Lee, Sun Kim:
Bio and health informatics meets cloud : BioVLab as an example. Health Inf. Sci. Syst. 1(1): 6 (2013) - [j1]Jaehyun An, Kwangsoo Kim, SungMin Rhee, Heejoon Chae, Kenneth P. Nephew, Sun Kim:
Genome-Wide Analysis and Modeling of DNA methylation susceptibility in 30 Breast Cancer Cell Lines by using CPG Flanking Sequences. J. Bioinform. Comput. Biol. 11(3) (2013) - 2011
- [c3]Hyungro Lee, Youngik Yang, Heejoon Chae, Seungyoon Nam, Donghoon Choi, Patanachai Tangchaisin, Chathura Herath, Suresh Marru, Kenneth P. Nephew, Sun Kim:
BioVLAB-MMIA: A Reconfigurable Cloud Computing Environment for microRNA and mRNA Integrated Analysis. BIBM 2011: 494-499 - [c2]Suresh Marru, Heejoon Chae, Patanachai Tangchaisin, Sun Kim, Marlon E. Pierce, Kenneth P. Nephew:
Transitioning BioVLab cloud workbench to a science gateway. TG 2011: 40:1-40:2 - 2010
- [c1]Heejoon Chae, Kwangmin Choi, Sun Kim, Haleh Ashki:
EGGSlicer: predicting biologically meaningful gene sets from gene clusters using gene ontology information. BCB 2010: 448-450
Coauthor Index
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