Journal Club(Go to the wiki JClub page to upload and see the PPT file)

Speaker Title Date
Donghyo Kim
CellBox: Interpretable Machine Learning for Perturbation Biology with Application to the Design of Cancer Combination Therapy
2021-01-19
Inhae Kim
Multiplex enCas12a screens detect functional buffering among paralogs otherwise masked in monogenic Cas9 knockout screens
2021-01-12
Hyunsoo Ahn
Leveraging Uncertainty in Machine Learning Accelerates Biological Discovery and Design
2020-12-29
Seongsu Lim
Molecular Choreography of Acute Exercise
2020-12-22
Kwanghwan Lee
Finding key players in complex networks through deep reinforcement learning
2020-12-01
Jungho Kong
Dr. VAE: improving drug response prediction via modeling of drug perturbation effects
2020-11-24
Donghyo Kim
An integrative ENCODE resource for cancer genomics
2020-11-17
Inhae Kim
Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells
2020-11-10
Hyunsoo Ahn
Improved protein structure prediction using potentials from deep learning.
2020-11-03
Seongsu Lim
CELLector: Genomics-Guided Selection of Cancer In Vitro Models
2020-10-27
Minhyuk Park
Predicting the frequencies of drug side effects.
2020-10-20
Doyeon Ha
Multi-omics prediction of immune-related adverse events during checkpoint immunotherapy
2020-10-13
Kwanghwan Lee
Computational inference of cancer-specific vulnerabilities in clinical samples
2020-10-06
Jungho Kong
Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology
2020-09-29
Donghyo Kim
An evolution-based model for designing chorismate mutase enzymes
2020-09-22