| 발표번호 |
강의제목/강사 |
발표자료 |
강의영상/Q&A |
| 일반강의(2시간) |
|
01 |
Bioinformatics for Cancer Immunotherapy 김상우 | | |
02 |
AI-based Drug Discovery 김선 | | |
03 |
Pharmacogenomics in Drug Discovery and Development 남호정 | | |
04 |
Bioinformatics Approaches to Explore Human Microbiomes 노미나 | | |
05 |
An Introduction to Probabilistic Modeling 노영균 | | |
06 |
Whole Genome Sequencing Analyses to Understand the Genetic Architecture of Human Disorders 안준용 | | |
07 |
Chemoinformatics 이민호 | | |
08 |
SVM (Support Vector Machine)의 개념과 활용 이상근 | | |
09 |
Single-cell Network Biology 이인석 | | |
10 |
Dimensionality Reduction 이제근 | | |
11 |
Noncoding Variants and Deep Learning 이현주 | | |
12 |
Transcriptome Profiling by Nanopore Direct RNA Sequencing 장혜식 | | |
13 |
Introduction to Artificial Intelligence, Machine Learning, and Deep Learning 정성원 | | |
14 |
Mutational Signatures in Cancer Genomes 주영석 | | |
15 |
Cancer Genome Study in Big Data era 홍동완 | | |
16 |
Shrinkage Methods and Tree Ensembles for High-dimensional Sparse Data 황규백 | | |
| 이론+실습 강의(4시간) |
|
01-1 |
Multi-omics Driven Systematic Approaches to Understand Cancer Complexity (이론) 김권일 | | |
01-2 |
Multi-omics Driven Systematic Approaches to Understand Cancer Complexity (실습) 김권일 | | |
02-1 |
Mass Spectrometry-based Proteomics (이론) 김민식 | | |
02-2 |
Mass Spectrometry-based Proteomics (실습) 김민식 | | |
03-1 |
Single-cell RNA-sequencing Analysis of Cancer (이론) 이세민 | | |
03-2 |
Single-cell RNA-sequencing Analysis of Cancer (실습) 이세민 | | |
04-1 |
3D Epigenome Data Analysis (이론) 정인경 | | |
04-2 |
3D Epigenome Data Analysis (실습) 정인경 | | |
