RECOMB-CSB 2025

Seoul, Korea, April 25, 2025

Organizers



Jinhyuk BhinYonsei University
Minkyung BaekSeoul National University

Program


Session 1: Advances in Gene Regulatory Network Modeling

Time Title Type Speaker
9:30-9:55 Integrating Prior Knowledge Using Transformer for Gene Regulatory Network Inference Highlight Kyungjae Won (Cedars-Sinai Medical Center)
9:55-10:20 Comprehensive network modeling approaches unravel dynamic enhancer-promoter interactions across neural differentiation Highlight Anat Kreimer (Rutgers University)

Session 2: Advanced Computational Resources for Molecular and Microbial Research

Time Title Type Speaker
10:35-11:00 BFVD – A massive release of viral protein structure predictions Highlight Rachel Seongeun Kim (Seoul National University)
11:00-11:25 ELiAH: the atlas of E3 ligases in human tissues for targeted protein degradation with reduced off-target effect Highlight Hyojung Paik (KISTI)
11:25-11:50 MRGM: an enhanced catalog of mouse gut microbial genomes substantially broadening taxonomic and functional landscapes Highlight Nayeon Kim (Yonsei University)

Lunch Break

11:50 - 13:30

Session 3: Multi-Omics Integration and Biomedical Applications

Time Title Type Speaker
13:30-14:20 Precision Medicine: Omics & Clinical data Keynote Daehee Hwang (Seoul National University)
14:20-14:45 Dual function of PHF16 in reinstating homeostasis of murine intestinal epithelium after crypt regeneration Highlight Somi Kim (POSTECH)
14:45-15:10 A deep learning model of tumor cell architecture elucidates response and resistance to CDK4/6 inhibitors Highlight Sungjoon Park (University of California San Diego)
15:10-15:30 Proteogenomic characterization of molecular and cellular targets for treatment-resistant subtypes in locally advanced cervical cancers Highlight Do Young Hyeon (Harvard Medical School)

Session 4: Innovative Methods for Single-Cell and Spatial Omics Data Analysis

Time Title Type Speaker
15:45-16:10 scCross: a deep generative model for unifying single-cell multi-omics with seamless integration, cross-modal generation, and in silico exploration Highlight Jingtao Wang (McGill University)
16:10-16:30 ArchVelo: improved single-cell multi-omic velocity for trajectory inference Proceedings Maria Avdeeva (Princeton University)
16:30-16:50 DHMOC: A novel classification method of data-driven hierarchical learning for multi-omics data classification Proceedings Li (Charlie) Xia (South China University of Technology)
16:50-17:15 FastTENET: an accelerated TENET algorithm based on manycore computing in Python Highlight Rakbin Sung (Chung-Ang University)

Keynote Speaker



Daehee HwangSeoul National University