SungMin Rhee

发表

Transcriptional Network Analysis Reveals Drought Resistance Mechanisms of AP2/ERF Transgenic Rice

Jukon Kim, Sun Kim, H. Kwon, 2017, Front. Plant Sci..

Computational regulatory network construction from microRNA and transcription factor perspectives

Sun Kim, Jinwoo Park, SungMin Rhee, 2013, SIGBIO.

Logic-based Analysis of Gene Expression Data Predicts Pathway Crosstalk between TNF, TGFB1 and EGF in Basal-like Breast Cancer

C. Talcott, Sun Kim, Minsu Kim, 2019, bioRxiv.

Logic-based Analysis of Gene Expression Data Predicts Association Between TNF, TGFB1 and EGF Pathways in Basal-like Breast Cancer.

C. Talcott, Sun Kim, Minsu Kim, 2020, Methods.

Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification

Seokjun Seo, Sun Kim, SungMin Rhee, 2017, IJCAI.

MONTI: A Multi-Omics Non-negative Tensor Decomposition Framework for Gene-Level Integrative Analysis

Sun Kim, Minsu Kim, Sangsoo Lim, 2021, Frontiers in Genetics.

GeneclusterViz: a tool for conserved gene cluster visualization, exploration and analysis

Sun Kim, Jaehyun An, Jeong-Hyeon Choi, 2012, Bioinform..

Genome-Wide Analysis and Modeling of DNA methylation susceptibility in 30 Breast Cancer Cell Lines by using CPG Flanking Sequences

Kenneth P. Nephew, Heejoon Chae, Sun Kim, 2013, J. Bioinform. Comput. Biol..

Optimization and Machine Learning Algorithms for Condition-Specific Biological Network Construction and Analyses

SungMin Rhee, 2008 .

Comprehensive and critical evaluation of individualized pathway activity measurement tools on pan-cancer data

Sun Kim, Inuk Jung, Sangseon Lee, 2018, Briefings Bioinform..

Information theoretic sub-network mining characterizes breast cancer subtypes in terms of cancer core mechanisms

Jinwoo Park, Kwangsoo Kim, Min-Su Kim, 2016, J. Bioinform. Comput. Biol..

Novel drought-responsive regulatory coding and non-coding transcripts from Oryza Sativa L.

Sun Kim, H. Kwon, Hongryul Ahn, 2016, Genes & Genomics.

Literature-based condition-specific miRNA-mRNA target prediction

Jaewoo Kang, Heejoon Chae, Sunwon Lee, 2017, PloS one.

BioVLAB-MMIA-NGS: microRNA-mRNA integrated analysis using high-throughput sequencing data

Kenneth P. Nephew, Heejoon Chae, Sun Kim, 2015, Bioinform..

PlantMirnaT: miRNA and mRNA integrated analysis fully utilizing characteristics of plant sequencing data.

SungMin Rhee, S. Rhee, H. Chae, 2015, Methods.

BioVLAB-MMIA-NGS: microRNA-mRNA integrated analysis using high-throughput sequencing data

K. Nephew, Sun Kim, SungMin Rhee, 2015, Bioinform..