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DTMBIO'15 Program |
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09:00-09:10 |
Workshop
Welcome |
Doheon Lee,
KAIST |
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Keynote Talk |
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09:10-10:00 |
Systems
genomics and prediction of complex human disease |
Michael Inouye,
The University of Melbourne |
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Session I: Methods for
bio-data and text mining |
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10:00-10:30 |
The Effect of
Word Sense Disambiguation Accuracy on Literature Based Discovery |
Judita
Preiss, University of Sheffield |
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10:30-10:50 |
Coffee
Break |
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10:10-10:30 |
Evaluation of a
machine learning duplicate detection method for bioinformatics databases |
Qingyu
Chen, The University of Melbourne |
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10:30-11:00 |
Privacy
Preserving Data Anonymization of Spontaneous ADE Reporting System Dataset |
Wen-Yang
Lin, National University of Kaohsiung |
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11:00-11:30 |
Extraction of fine-grained
semantic relations for the Human Variome |
Karin
Verspoor, The University of Melbourne |
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Session II:
Applications of bio-data and text mining |
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11:30-12:00 |
Discovery
of Prostate Specific Antigen Pattern to Predict Castration Resistant Prostate
Cancer of Androgen Deprivation Therapy |
Yejin
Kim, POSTECH |
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12:00-12:30 |
In-silico Interaction-Resolution Pathway Activity Quantification and
Application to Identifying Cancer Subtypes |
Sungwon Jung,
Gachon University School of Medicine |
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12:30-13:30 |
Lunch
Break |
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13:30-14:00 |
Prognostic
Factor Analysis for Breast Cancer Using Gene Expression Profiles |
Soobok
Joe, GIST |
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14:00-14:30 |
Prediction of
Compound-Target Interactions of Natural Products Using Large-scale Drug and Protein Information |
Jongsoo
Keum, GIST |
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14:30-15:00 |
Poster
boasters |
All
poster presenters (3 minute presentation for each poster) |
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15:00-15:20 |
Coffee
Break |
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Session III: Short
Presentation |
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15:20-15:35 |
Analyzing
Subject-Method Network of Bioinformatics and Biology |
Keheon
Lee, Yonsei University |
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15:35-15:50 |
Prediction of
scaffold proteins based on protein interaction and domain architectures |
Kimin
Oh, KAIST |
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15:50-16:10 |
Cell
line-specific functional module based drug efficacy prediction |
Woochang
Hwang, KAIST |
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Session
IV: Poster Session |
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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) |
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