Heejoon Chae
Orcid: 0000-0002-0960-5829
According to our database1,
Heejoon Chae
authored at least 22 papers
between 2010 and 2023.
Collaborative distances:
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Bibliography
2023
meth-SemiCancer: a cancer subtype classification framework via semi-supervised learning utilizing DNA methylation profiles.
BMC Bioinform., December, 2023
moBRCA-net: a breast cancer subtype classification framework based on multi-omics attention neural networks.
BMC Bioinform., December, 2023
2021
BioVLAB-Cancer-Pharmacogenomics: tumor heterogeneity and pharmacogenomics analysis of multi-omics data from tumor on the cloud.
Bioinform., 2021
Erratum to: Machine learning-based analysis of multi-omics data on the cloud for investigating gene regulations.
Briefings Bioinform., 2021
Machine learning-based analysis of multi-omics data on the cloud for investigating gene regulations.
Briefings Bioinform., 2021
Correction to "A Non-Negative Matrix Factorization Based Framework for the Analysis of Multi-Class Time-Series Single-Cell RNA-Seq Data".
IEEE Access, 2021
Cell Subtype Classification via Representation Learning Based on a Denoising Autoencoder for Single-Cell RNA Sequencing.
IEEE Access, 2021
IDEA: Integrating Divisive and Ensemble-Agglomerate hierarchical clustering framework for arbitrary shape data.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
methCancer-gen: a DNA methylome dataset generator for user-specified cancer type based on conditional variational autoencoder.
BMC Bioinform., 2020
A Non-Negative Matrix Factorization-Based Framework for the Analysis of Multi-Class Time-Series Single-Cell RNA-Seq Data.
IEEE Access, 2020
2019
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., 2019
2018
J. Bioinform. Comput. Biol., 2018
BMC Bioinform., 2018
HTRgene: Integrating Multiple Heterogeneous Time-series Data to Investigate Cold and Heat Stress Response Signaling Genes in Arabidopsis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Integration of heterogeneous time series gene expression data by clustering on time dimension.
Proceedings of the 2017 IEEE International Conference on Big Data and Smart Computing, 2017
2016
Subtype-specific CpG island shore methylation and mutation patterns in 30 breast cancer cell lines.
BMC Syst. Biol., 2016
2015
BioVLAB-MMIA-NGS: microRNA-mRNA integrated analysis using high-throughput sequencing data.
Bioinform., 2015
2013
Genome-Wide Analysis and Modeling of DNA methylation susceptibility in 30 Breast Cancer Cell Lines by using CPG Flanking Sequences.
J. Bioinform. Comput. Biol., 2013
Health Inf. Sci. Syst., 2013
2011
Proceedings of the 2011 TeraGrid Conference - Extreme Digital Discovery, 2011
BioVLAB-MMIA: A Reconfigurable Cloud Computing Environment for microRNA and mRNA Integrated Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011
2010
EGGSlicer: predicting biologically meaningful gene sets from gene clusters using gene ontology information.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010