DTMBIO'14 Program

08:30-08:40

Keynote Address

Dr. Hua Xu, University of Texas

Keynote Talk

08:40-09:10

Systems Informatics Initiative for Natural Product-Based Healthcare Technology

Dr. Doheon Lee, KAIST

Session I: Methods for Bio-Data and Text Mining
 (Chair: Dr. Hua Xu, University of Texas)

09:10-09:40

Parsing clinical text: how good are the state-of-the-art parsers?

Min Jiang, UT Houston

09:40-10:00

Grounded Feature Selection for Biomedical Relation Extraction by the Combinative Approach

Sung Jeon Song, Yonsei University

10:00-10:30

Coffee Break

 

10:30-11:00

Injury Narrative Text Classification using the Factorization Model

Lin Chen, QUT

11:00-11:30

Entity Linking for Biomedical Literature

Jin Guang Zheng, Rensselaer Polytechnic Institute

11:30-12:00

Systematic identification of context-dependent conflicting information in biological pathways

Seyeol Yoon, KAIST

12:00-13:00

Lunch Break

 

13:00-14:00

Poster Session

 

Session II: Applications of Bio-Data and Text Mining
(Chair: Dr. Sangwoo Kim, Yonsei University College of Medicine)

14:10-14:40

Discriminatory analysis of Alzheimer's disease through pathway activity inference in the resting-state brain

Jongan Lee, Samsung Medical Center

14:40-15:00

Inference of Disease E3s from Integrated Functional Relation Network

Bumki Min, KAIST

15:00-15:30

Coffee Break

 

15:30-16:00

Identification of coexpressed gene modules across multiple brain diseases by a biclustering analysis on integrated gene expression data

Kihoon Cha, KAIST

16:00-16:20

Identifying cancer subtypes based on somatic mutation profile

Sungchul Kim, Postech

16:20-16:50

Identification of Genomic Features in the Classification of Loss- and Gain-of-Function Mutation

Seunghwan Jung, GIST

16:50-17:10

Identification of a Specific Base Sequence of Pathogenic E. coli through a Genomic Analysis

Soobok Joe, GIST

Closing Remarks