Cloud-BS: A MapReduce-based bisulfite sequencing aligner on cloud. - Joungmin Choi; Yoonjae Park; Sun Kim; Heejoon Chae (J. Bioinform. Comput. Biol., 2018)

A Non-Negative Matrix Factorization-Based Framework for the Analysis of Multi-Class Time-Series Single-Cell RNA-Seq Data. - Inuk Jung; Joungmin Choi; Heejoon Chae (IEEE Access, 2020)

methCancer-gen: a DNA methylome dataset generator for user-specified cancer type based on conditional variational autoencoder. - Joungmin Choi; Heejoon Chae (BMC Bioinform., 2020)

Cell Subtype Classification via Representation Learning Based on a Denoising Autoencoder for Single-Cell RNA Sequencing. - Joungmin Choi; Je-Keun Rhee; Heejoon Chae (IEEE Access, 2021)

Correction to "A Non-Negative Matrix Factorization Based Framework for the Analysis of Multi-Class Time-Series Single-Cell RNA-Seq Data". - Inuk Jung; Joungmin Choi; Heejoon Chae (IEEE Access, 2021)

DeepMicroGen: a generative adversarial network-based method for longitudinal microbiome data imputation. - Joung Min Choi; Ming Ji; Layne T. Watson; Liqing Zhang 002 (Bioinform., 2023)

moBRCA-net: a breast cancer subtype classification framework based on multi-omics attention neural networks. - Joung Min Choi; Heejoon Chae (BMC Bioinform., 2023)

meth-SemiCancer: a cancer subtype classification framework via semi-supervised learning utilizing DNA methylation profiles. - Joung Min Choi; Chaelin Park; Heejoon Chae (BMC Bioinform., 2023)

Breast Cancer Subtype Prediction Model Integrating Domain Adaptation with Semi-supervised Learning on DNA Methylation Profiles. - Joung Min Choi; Liqing Zhang (AIME (1), 2024)