DTMBIO'15 Program

 

 

09:00-09:10

Workshop Welcome

Doheon Lee, KAIST

 

 

Keynote Talk

 

 

09:10-10:00

Systems genomics and prediction of complex human disease

Michael Inouye, The University of Melbourne

 

 

Session I: Methods for bio-data and text mining
?/span>(Chair: Karin Verspoor, The University of Melbourne, Australia)

 

 

10:00-10:30

The Effect of Word Sense Disambiguation Accuracy on Literature Based Discovery

Judita Preiss, University of Sheffield

 

 

10:30-10:50

Coffee Break

 

 

 

10:10-10:30

Evaluation of a machine learning duplicate detection method for bioinformatics databases

Qingyu Chen, The University of Melbourne

 

 

10:30-11:00

Privacy Preserving Data Anonymization of Spontaneous ADE Reporting System Dataset

Wen-Yang Lin, National University of Kaohsiung

 

 

11:00-11:30

Extraction of fine-grained semantic relations for the Human Variome

Karin Verspoor, The University of Melbourne

 

 

Session II: Applications of bio-data and text mining
(Chair: Sangwoo Kim, Yonsei University College of Medicine)

 

 

11:30-12:00

Discovery of Prostate Specific Antigen Pattern to Predict Castration Resistant Prostate Cancer of Androgen Deprivation Therapy

 Yejin Kim, POSTECH

 

 

12:00-12:30

In-silico Interaction-Resolution Pathway Activity Quantification and Application to Identifying Cancer Subtypes

Sungwon Jung, Gachon University School of Medicine

 

 

12:30-13:30

Lunch Break

 

 

 

13:30-14:00

Prognostic Factor Analysis for Breast Cancer Using Gene Expression Profiles

Soobok Joe, GIST

 

 

14:00-14:30

Prediction of Compound-Target Interactions of Natural Products Using Large-scale Drug and Protein Information

Jongsoo Keum, GIST

 

 

14:30-15:00

Poster boasters

All poster presenters (3 minute presentation for each poster)

 

 

15:00-15:20

Coffee Break

 

 

 

Session III: Short Presentation
(Chair: Min Song, Yonsei University)

 

 

15:20-15:35

Analyzing Subject-Method Network of Bioinformatics and Biology

Keheon Lee, Yonsei University

 

 

15:35-15:50

Prediction of scaffold proteins based on protein interaction and domain architectures

Kimin Oh, KAIST

 

 

15:50-16:10

Cell line-specific functional module based drug efficacy prediction

Woochang Hwang, KAIST

 

 

Session IV: Poster Session

 

 

16:10-17:00

SESE: A method to infer disease-gene relationships using SEcond SEntence in biological literature (Jeongwoo Kim, Yonsei University)

Building Text-mining Framework for Gene-Phenotype Relation Extraction using Deep leaning (Dongjin Jang, KAIST)

Development of a framework for constructing a virtual physiological human with the integration of COntext specific Directed Associations (CODA) (Hasun Yu, KAIST)

Identifying Potential Bioactive Compounds of Natural Products by Combining ADMET Prediction Methods (Moonshik Shin, KAIST)

Evaluation of Disease-associated Text-mining Databases (Myeong-Sang Yu, Chung-Ang University)

Toxicity Predictions using Compound Descriptions (Eunyoung Kim, GIST)

Identification and Analysis of Medical Entity Co-occurrences in Twitter (Andrew MacKinlay, IBM Research)

Citizen Organization System for Advanced MEDical research (COSAMED) (Junseok Park, KAIST)

Analyzing the Landscape of Anti-Cancer Drug Research in Pancreatic Cancer (Yoo Kyung Jung, Yonsei University)

A Text Mining Approach for Identifying Herb-chemical Relationships from Biomedical Articles (Wonjun Choi, GIST)

A Flexible Text Mining System for Entity and Relation Extraction in PubMed (Go Eun Heo, Yonsei University)

What-if Analysis in Biomedical Networks based on Production Rule System (Hojung Nam, GIST)