Program

Workshop program (November 7, 2019)                                                      

– Presentations: Full paper: 25 minutes / Lightning presentation (as a poster): 10 minutes

07:45-09:30 Registration
09:30-09:40 Welcome message: Prof. Doheon Lee (KAIST)
  Session 1 – Biological Findings from Omics and text data

chair: Dr. Hyojung Paik (KISTI)

09:40-10:05 Korean Medical Information Extraction using BERT

– Young-Min Kim

10:05-10:30 Identification of key genes and biological pathways associated with ischemia-reperfusion injury in the human kidney using RNA-seq

– Meeyoung Park

10:30-11:00

Morning Break

11:00-11:25 2-D chemical structure image-based in silico model to predict agonist activity for androgen receptor

-Myeong-Sang Yu

11:20-11:50 Deep User Identification Model with Multiple Biometrics

– Hyoung-Kyu Song

11:50-12:15 Literature mining for context-specific molecular relations using multimodal representations (COMMODAR)

– Jaehyun Lee

12:15-12:40 Literature based discovery of alternative TCM medicine for adverse reactions to depression drugs

-Qing Xie

  12:40~14:20

Lunch

14:30-15:30 Keynote speech:

3D genomics and diseases

Prof. Cheng Li (Peking Univ.)

chair: Prof. Ruibin Xi (Peking Univ)

  15:30~16:00

Afternoon Break

Session 2 – Lightning presentation (3 Posters)

chair: Prof. Dokyun Na (Chung-Ang Univ)

16:00-16:15 Text Mining Driven Content Analysis of Schizophrenia on Online News

-Hyun Ji Kim

16:15-16:30 A knowledge graph of stem cell oriented to subject knowledge discovery

-Zhengyin Hu

16:30~16:45 Identifying candidate compounds of nature products for new drug development using literature-based discovery – A case study of Xanthium strumarium

-Soobin Lee

16:45~17:00 Forum discussions for Lightning presentations
17:00 Closing remarks: Dr. Hyojung Paik (KISTI)
17:30~19:00 Closed meeting: DTMBio 2019 organizers

Chair: Prof. Song Min (Yonsei Univ.)

Agenda I: Discussions for the DTMBio accepted papers

 

Chair: Dr. Hyojung Paik (KISTI)

Agenda II: Next DTMBio committee organization (DTMBio2020)