Proceedings of the ACM Ninth International Workshop on Data and Text Mining in Biomedical Informatics, DTMBIO 2015, Melbourne, Australia, October 23, 2015
Doheon Lee, Min Song, Karin Verspoor (Editors)
- Anthology ID:
- 2015.cikm_workshop-2015dtmbio
- Year:
- 2015
- Venue:
- cikm_workshop
- Publisher:
- ACM
- URL:
- https://doi.org/10.1145/2811163
- DOI:
- 10.1145/2811163
- DBLP:
- conf/cikm/2015dtmbio
The Effect of Word Sense Disambiguation Accuracy on Literature Based Discovery
Judita Preiss
|
Mark Stevenson
Privacy Preserving Data Anonymization of Spontaneous ADE Reporting System Dataset
Wen-Yang Lin
|
Duen-Chuan Yang
|
Jie-Teng Wang
Extraction of Fine-grained Semantic Relations for the Human Variome
Karin Verspoor
|
Go Eun Heo
|
Keun Young Kang
|
Min Song
Evaluation of a Machine Learning Duplicate Detection Method for Bioinformatics Databases
Qingyu Chen
|
Justin Zobel
|
Karin Verspoor
Discovery of Prostate Specific Antigen Pattern to Predict Castration Resistant Prostate Cancer of Androgen Deprivation Therapy
Yejin Kim
|
Yong Hyun Park
|
Ji Youl Lee
|
In Young Choi
|
Dong Hyun Kim
|
Hwanjo Yu
In-silico Interaction-Resolution Pathway Activity Quantification and Application to Identifying Cancer Subtypes
Sungwon Jung
Prediction of Compound-Target Interactions of Natural Products Using Large-scale Drug and Protein Information
Jongsoo Keum
|
Sunyong Yoo
|
Hojung Nam
Prognostic Factor Analysis for Breast Cancer Using Gene Expression Profiles
Soobok Joe
|
Hojung Nam
Building Text-mining Framework for Gene-Phenotype Relation Extraction using Deep Leaning
Dongjin Jang
|
Jaehyun Lee
|
Kwangmin Kim
|
Doheon Lee
Development of a Framework for Constructing a Virtual Physiological Human with the Integration of COntext Specific Directed Associations (CODA)
Hasun Yu
|
Jinmyung Jung
|
Seyeol Yoon
|
Mijin Kwon
|
Yeeok Kang
|
Sunghwa Bae
|
Doheon Lee
Identifying Potential Bioactive Compounds of Natural Products by Combining ADMET Prediction Methods
Moonshik Shin
|
Sungyoung Yoo
|
Suhyun Ha
|
Kyungrin Noh
|
Doheon Lee
Evaluation of Disease-Associated Text-Mining Databases
Myeong-Sang Yu
|
Dokyun Na
Toxicity Predictions using Compound Descriptions
Eunyoung Kim
|
Sangwoo Kim
|
Suhyun Ha
|
Hojung Nam
Identification and Analysis of Medical Entity Co-occurrences in Twitter
Andrew MacKinlay
|
Antonio Jimeno-Yepes
|
Bo Han
Citizen Organization System for Advanced MEDical research (COSAMED)
Junseok Park
|
Sungji Choo
|
Doheon Lee
Analyzing the Landscape of Anti-Cancer Drug Research in Pancreatic Cancer
Yoo Kyung Jeong
|
Go Eun Heo
|
Keun Young Kang
|
Dong Sup Yoon
|
Min Song
A Text Mining Approach for Identifying Herb-chemical Relationships from Biomedical Articles
Wonjun Choi
|
Hyunju Lee
A Flexible Text Mining System for Entity and Relation Extraction in PubMed
Go Eun Heo
|
Keun Young Kang
|
Min Song
Analyzing Subject-Method Network of Bioinformatics and Biology
Keeheon Lee
|
Yonghwan Kim
|
Seung Han Baek
|
Min Song
What-if Analysis in Biomedical Networks based on Production Rule System
Hasun Yu
|
Jinmyung Jung
|
Doheon Lee
|
Sangwoo Kim
Cell line specific method based on functional modules for drug sensitivity prediction
Woochang Hwang
|
Jaejoon Choi
|
Mijin Kwon
|
Doheon Lee
Prediction of Scaffold Proteins based on Protein Interaction and Domain Architectures
Kimin Oh
|
Gwan-Su Yi