ACM Tenth International Workshop on Data and Text Mining in

Biomedical Informatics (DTMBIO 2016)


- Presentations: Full paper: 25 minutes / Short paper: 15 minutes / Poster: 5 minutes
- For poster authors, please prepare a 5 min-presentation instead of conventional posters.

09:00 - 09:10

Welcome Message by Professor Sangwoo Kim at Yonsei University

09:10 - 10:15

Keynote Address by Professor Yong Yeol Ahn at Indiana University

 

Session I - Knowledge Discovery in Literature

(Session Chair: Min Song at Yonsei Univ.)

10:15 - 10:30

Machine Reading Approach to Understand Alzheimer's Disease Literature (Satoshi Tsutsui, Ying Ding and Guilin Meng)

10:30 - 11:00

Coffee Break

Session I - Knowledge Discovery in Literature - continue

(Session Chair: Min Song at Yonsei Univ.)

11:00 - 11:25

Quantifying and Filtering Knowledge Generated by Literature Based Discovery (Judita Preiss and Mark Stevenson)

11:25 - 11:50

Introducing a New Methodology to Construct a Potentially Contradictory Corpus From Biomedical Domain (Abdulaziz Alamri and Mark Stevenson)

11:50 - 12:15

Examining the Field of Bioinformatics by the Multi-faceted Informetric Approach (Go Eun Heo, Keun Young Kang and Min Song)

 

Session II - Big Knowledge based on Biomedical Network Analysis (Session Chair: Ying Ding at Indiana Univ.)

12:15 - 12:30

Contextualization of Drug-Mediator Relations Using Public Knowledge-bases (Hai Tran, Gil Speyer, Jeff Kiefer and Seungchan Kim)

12:30 - 14:00

Lunch Break

Session II - Big Knowledge based on Biomedical Network Analysis - continue (Session Chair: Ying Ding at Indiana Univ.)

14:00 - 14:25

The coupling effect on VRTP of SIR epidemics in Scale-Free Networks (Kiseong Kim, Sangyeon Lee, Kwang-Hyung Lee and Doheon Lee)

14:25 - 14:40

Therapeutic target prediction for muscle atrophy by using Petri-net simulation on phosphorylation networks (Jinmyung Jung, Mijin Kwon, Sunghwa Bae, Soorin Yim, Seunghyun Kim and Doheon Lee)

14:40 - 14:55

Constructing Linguistic Verb Source for Relation Extraction (Yonghwan Kim, Seunghan Beak and Min Song)

 

Session III - Big data modeling in Biomedical field

(Session Chair: Judita Preiss at University of Sheffield)

14:55 - 15:20

Prediction models for drug-induced hepatotoxicity by using weighted molecular fingerprints (Eunyoung Kim and Hojung Nam)

15:20 - 16:00

Coffee Break

 

Session III - Big data modeling in Biomedical field - continue

(Session Chair: Judita Preiss at University of Sheffield)

16:00 - 16:25

In silico re-identification of properties of drug target proteins (Baeksoo Kim, Jihoon Jo, Jonghyun Han, Chungoo Park and Hyunju Lee)

16:25 - 16:50

Distributed Representations for Biological Sequence Analysis (Dhananjay Kimothi, Akshay Soni, Pravesh Biyani and James Hogan)

16:50 - 17:15

TIGERi: Modeling and visualizing the responses to perturbation of a transcription factor network (Namshik Han, Harry Noyes and Andy Brass)

17:15 - 17:35

Session IV - Poster Session (5 minutes each)

Entity Metrics based Triple Term Extraction (Keun Young Kang, Ju Young Ahn and Min Song)

Survival analysis based on differential expression of KRAS gene in KRAS-driven cancers (In Seok Yang and Sangwoo Kim)

Significant mutation bias events of cancer mutations (Hyeonju Son and Sangwoo Kim)

An artificial neural network model for prediction of enzyme reaction (Myeong-Sang Yu, Chungoo Park, Aaron Park, Hyithaek Ceong, and Dokyun Na)