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ORCIDJoungmin Choi
Person information
- affiliation: Virginia Tech, Department of Computer Science, Blacksburg, USA
- affiliation: Sookmyung Women's University, Department of Electrical and Computer Engineering, Korea
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Journal Articles
- 2026
[j11]Joung Min Choi
, Monjura Afrin Rumi, Connor L. Brown, Peter J. Vikesland, Amy Pruden, Liqing Zhang:
ARGfore: A Multivariate Framework for Forecasting Antibiotic Resistance Gene Abundances Using Time-Series Metagenomic Datasets. IEEE Access 14: 34692-34704 (2026)- [j10]Chaelin Park, Joung Min Choi, Heejoon Chae:
Cell Type Prediction for Single-Cell RNA Sequencing Utilizing Unsupervised Domain Adaptation and Semi-Supervised Learning. J. Comput. Biol. 33(9): 855-870 (2026) - 2025
- [j9]Joung Min Choi, Liqing Zhang:
BCtypeFinder: A Semi-Supervised Model with Domain Adaptation for Breast Cancer Subtyping Using DNA Methylation Profiles. J. Comput. Biol. 32(12): 1160-1170 (2025) - 2023
- [j8]Joung Min Choi, Ming Ji, Layne T. Watson, Liqing Zhang:
DeepMicroGen: a generative adversarial network-based method for longitudinal microbiome data imputation. Bioinform. 39(5) (2023) - [j7]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) - [j6]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
- [j5]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) - [j4]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) - 2020
- [j3]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) - [j2]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) - 2018
- [j1]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)
Conference and Workshop Papers
- 2025
- [c2]Joung Min Choi, Heejoon Chae:
Cell-specific network-based cell type prediction via graph convolutional network using transcriptomics profiles. ICMHI 2025: 84-88 - 2024
- [c1]Joung Min Choi, Liqing Zhang:
Breast Cancer Subtype Prediction Model Integrating Domain Adaptation with Semi-supervised Learning on DNA Methylation Profiles. AIME (1) 2024: 357-366
Coauthor Index
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