DTMBIO'15 Program




Workshop Welcome

Doheon Lee, KAIST



Keynote Talk




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)




The Effect of Word Sense Disambiguation Accuracy on Literature Based Discovery

Judita Preiss, University of Sheffield




Coffee Break





Evaluation of a machine learning duplicate detection method for bioinformatics databases

Qingyu Chen, The University of Melbourne




Privacy Preserving Data Anonymization of Spontaneous ADE Reporting System Dataset

Wen-Yang Lin, National University of Kaohsiung




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)




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

 Yejin Kim, POSTECH




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

Sungwon Jung, Gachon University School of Medicine




Lunch Break





Prognostic Factor Analysis for Breast Cancer Using Gene Expression Profiles

Soobok Joe, GIST




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

Jongsoo Keum, GIST




Poster boasters

All poster presenters (3 minute presentation for each poster)




Coffee Break




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




Analyzing Subject-Method Network of Bioinformatics and Biology

Keheon Lee, Yonsei University




Prediction of scaffold proteins based on protein interaction and domain architectures

Kimin Oh, KAIST




Cell line-specific functional module based drug efficacy prediction

Woochang Hwang, KAIST



Session IV: Poster Session




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)