Workshop program (October 19, 2020)                                                      

– Presentations:  Full paper: 25 minutes (15min. oral presentation/ 10min. Q&A) /  Lightning presentation (as a poster): 10 minutes

Time zone in Galway, County Galway, Ireland (GMT+1)


(GMT+1 time)

Welcome message:

Prof. Doheon Lee (KAIST)

Session 1 – Biological Findings from Omics and text data

chair: Dr. Hyojung Paik (KISTI)

06:20-06:45 Supercomputer-aided Drug Repositioning at Scale: Virtual Screening for SARS-CoV-2 Protease Inhibitor
– Sangjae Seo
06:45-07:10 A Sui Generis QA Approach using RoBERTa for Adverse Drug Event Identification
– Harshit Jain
07:10-07:35 Comparability of reference-based and reference-free transcriptome analysis approaches at the gene expression level
– Sung-Gwon Lee
07:35-08:00 PIC-Me: Paralogs and Isoforms Classifier based on Machine-learning approaches
– Jooseong Oh
08:00-08:25 Mapping of Lesion Images to Somatic Mutations
– Rahul Mehta

Coffee Break

08:35-09:00 Mining Potentially Unreported Effects from Twitter Posts through Relational Similarity: A Case for Opioids
– Keyuan Jiang
09:00-09:25 Using Deep Learning to Support High-Quality Evidence Mapping
– Thomas Brox Røst
09:25-09:50 Context Aware Multi-token Concept Recognition of Biological Entities
– Kwangmin Kim

Keynote speech:

3D genomics and diseases
Gene regulatory network reconstruction using single cell transcriptomic data
Prof. Kyoung-Jae Won (Copenhagen Univ.)
chair: Prof. Prof. Hojung Nam (GIST)


Session 2 – Lightning presentation (3 Posters)

chair: Albert No (Hongik Univ)

10:20-10:30 Supercomputer Aided Acceleration of Longitudinal Genome-Wide Association Study
– Oh-kyoung Kwon
10:30-10:40 Identification of the Association between Alzheimer’s Diseases and Viral Infection using Digital Healthcare Records of Millions of Patients in South Korea
– Hyojung Paik
10:40~11:00 Forum discussions for Lightning presentations
11:00 Closing remarks: Prof. Song Min (Yonsei Univ)