Publications by authors named "Heejoon Chae"

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TSCytoPred: a deep learning framework for inferring cytokine expression trajectories from irregular longitudinal gene expression data to enhance multi-omics analyses.
Joung Min Choi, Heejoon Chae

PeerJ· November 2025

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Rapid In-Plane Pattern Growth for Large-Area Inverse Replication Through Electrohydrodynamic Instability of Polymer Films.
Hyunje Park, Jaeseok Hwang, Heejoon Chae, Dae Joon Kang

Small· August 2024

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moSCminer: a cell subtype classification framework based on the attention neural network integrating the single-cell multi-omics dataset on the cloud.
Joung Min Choi, Chaelin Park, Heejoon Chae

PeerJ· March 2024

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Electrohydrodynamic Nanopatterning: A Novel Solvent-Assisted Technique for Unconventional Substrates.
Hyunje Park, Ha Young Choi, Heejoon Chae, May Myat Noe Oo, Dae Joon Kang

Nano Lett· December 2023

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

BMC Bioinformatics· April 2023

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

BMC Bioinformatics· April 2023

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BioVLAB-Cancer-Pharmacogenomics: tumor heterogeneity and pharmacogenomics analysis of multi-omics data from tumor on the cloud.
Sungjoon Park, Dohoon Lee, Youngkuk Kim, Sangsoo Lim, Heejoon Chae

Bioinformatics· December 2021

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Targeted Sequencing Revealed Distinct Mutational Profiles of Ocular and Extraocular Sebaceous Carcinomas.
Hee Young Na, Jeong Hwan Park, Sun Ah Shin, Sejoon Lee, Heonyi Lee, Heejoon Chae

Cancers (Basel)· September 2021

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Methylation and molecular profiles of ependymoma: Influence of patient age and tumor anatomic location.
Hwa Jin Cho, Ha Young Park, Kwangsoo Kim, Heejoon Chae, Sun Ha Paek

Mol Clin Oncol· May 2021

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Machine learning-based analysis of multi-omics data on the cloud for investigating gene regulations.
Minsik Oh, Sungjoon Park, Sun Kim, Heejoon Chae

Brief Bioinform· January 2021

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Erratum to: Machine learning-based analysis of multi-omics data on the cloud for investigating gene regulations.
Minsik Oh, Sungjoon Park, Sun Kim, Heejoon Chae

Brief Bioinform· January 2021

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

BMC Bioinformatics· May 2020

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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.
Hongryul Ahn, Inuk Jung, Heejoon Chae, Dongwon Kang, Woosuk Jung

BMC Bioinformatics· December 2019

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Bioinformatic analysis of peripheral blood RNA-sequencing sensitively detects the cause of late graft loss following overt hyperglycemia in pig-to-nonhuman primate islet xenotransplantation.
Hyun-Je Kim, Ji Hwan Moon, Hyunwoo Chung, Jun-Seop Shin, Bongi Kim, Heejoon Chae

Sci Rep· December 2019

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Comparative Gene Expression Profiles in Parathyroid Adenoma and Normal Parathyroid Tissue.
Young Jun Chai, Heejoon Chae, Kwangsoo Kim, Heonyi Lee, Seongmin Choi

J Clin Med· March 2019

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Colorectal Cancer Prognosis is Not Associated with BRAF and KRAS Mutations-A STROBE Compliant Study.
Joon-Hyop Lee, Jiyoung Ahn, Won Seo Park, Eun Kyung Choe, Eunyoung Kim, Heejoon Chae

J Clin Med· January 2019

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BiSpark: a Spark-based highly scalable aligner for bisulfite sequencing data.
Seokjun Soe, Yoonjae Park, Heejoon Chae

BMC Bioinformatics· December 2018

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Cloud-BS: A MapReduce-based bisulfite sequencing aligner on cloud.
Joungmin Choi, Yoonjae Park, Sun Kim, Heejoon Chae

J Bioinform Comput Biol· December 2018

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Literature-based condition-specific miRNA-mRNA target prediction.
Minsik Oh, Sungmin Rhee, Ji Hwan Moon, Heejoon Chae, Sunwon Lee

PLoS One· August 2017

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BioVLAB-mCpG-SNP-EXPRESS: A system for multi-level and multi-perspective analysis and exploration of DNA methylation, sequence variation (SNPs), and gene expression from multi-omics data.
Heejoon Chae, Sangseon Lee, Seokjun Seo, Daekyoung Jung, Hyeonsook Chang

Methods· December 2016

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Subtype-specific CpG island shore methylation and mutation patterns in 30 breast cancer cell lines.
Heejoon Chae, Sangseon Lee, Kenneth P Nephew, Sun Kim

BMC Syst Biol· December 2016

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CLIP-GENE: a web service of the condition specific context-laid integrative analysis for gene prioritization in mouse TF knockout experiments.
Benjamin Hur, Sangsoo Lim, Heejoon Chae, Seokjun Seo, Sunwon Lee

Biol Direct· October 2016

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Efficiency of methylated DNA immunoprecipitation bisulphite sequencing for whole-genome DNA methylation analysis.
Hae Min Jeong, Sangseon Lee, Heejoon Chae, RyongNam Kim, Mi Jeong Kwon

Epigenomics· August 2016

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Combined analysis of gene regulatory network and SNV information enhances identification of potential gene markers in mouse knockout studies with small number of samples.
Benjamin Hur, Heejoon Chae, Sun Kim

BMC Med Genomics· February 2016

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BioVLAB-MMIA-NGS: microRNA-mRNA integrated analysis using high-throughput sequencing data.
Heejoon Chae, Sungmin Rhee, Kenneth P Nephew, Sun Kim

Bioinformatics· January 2015

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