DTMBIO '15- Proceedings of the ACM Ninth International Workshop on Data and Text Mining in Biomedical Informatics

Full Citation in the ACM Digital Library

SESSION: Methods for Bio-data and Text Mining

The Effect of Word Sense Disambiguation Accuracy on Literature Based Discovery

Privacy Preserving Data Anonymization of Spontaneous ADE Reporting System Dataset

Extraction of Fine-grained Semantic Relations for the Human Variome

Evaluation of a Machine Learning Duplicate Detection Method for Bioinformatics Databases

SESSION: Applications of Bio-data and Text Mining

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

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

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

Prognostic Factor Analysis for Breast Cancer Using Gene Expression Profiles

POSTER SESSION: Poster Session

Building Text-mining Framework for Gene-Phenotype Relation Extraction using Deep Leaning

Development of a Framework for Constructing a Virtual Physiological Human with the Integration of COntext Specific Directed Associations (CODA)

Identifying Potential Bioactive Compounds of Natural Products by Combining ADMET Prediction Methods

Evaluation of Disease-Associated Text-Mining Databases

Toxicity Predictions using Compound Descriptions

Identification and Analysis of Medical Entity Co-occurrences in Twitter

Citizen Organization System for Advanced MEDical research (COSAMED)

Analyzing the Landscape of Anti-Cancer Drug Research in Pancreatic Cancer

A Text Mining Approach for Identifying Herb-chemical Relationships from Biomedical Articles

A Flexible Text Mining System for Entity and Relation Extraction in PubMed

Analyzing Subject-Method Network of Bioinformatics and Biology

What-if Analysis in Biomedical Networks based on Production Rule System

Cell line specific method based on functional modules for drug sensitivity prediction

Prediction of Scaffold Proteins based on Protein Interaction and Domain Architectures