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ORCID9. DTMBIO@CIKM 2015: Melbourne, Australia
- Doheon Lee, Min Song, Karin Verspoor:
Proceedings of the ACM Ninth International Workshop on Data and Text Mining in Biomedical Informatics, DTMBIO 2015, Melbourne, Australia, October 23, 2015. ACM 2015, ISBN 978-1-4503-3787-8
Methods for Bio-data and Text Mining
- Judita Preiss
, Mark Stevenson:
The Effect of Word Sense Disambiguation Accuracy on Literature Based Discovery. 1 - Wen-Yang Lin, Duen-Chuan Yang, Jie-Teng Wang:
Privacy Preserving Data Anonymization of Spontaneous ADE Reporting System Dataset. 2 - Karin Verspoor, Go Eun Heo, Keun Young Kang, Min Song:
Extraction of Fine-grained Semantic Relations for the Human Variome. 3 - Qingyu Chen, Justin Zobel, Karin Verspoor:
Evaluation of a Machine Learning Duplicate Detection Method for Bioinformatics Databases. 4-12
Applications of Bio-data and Text Mining
- Yejin Kim, Yong Hyun Park, Ji Youl Lee, In Young Choi, Donghyun Kim, Hwanjo Yu:
Discovery of Prostate Specific Antigen Pattern to Predict Castration Resistant Prostate Cancer of Androgen Deprivation Therapy. 13 - Sungwon Jung:
In-silico Interaction-Resolution Pathway Activity Quantification and Application to Identifying Cancer Subtypes. 14 - Jongsoo Keum, Sunyong Yoo, Hojung Nam:
Prediction of Compound-Target Interactions of Natural Products Using Large-scale Drug and Protein Information. 15 - Soobok Joe, Hojung Nam:
Prognostic Factor Analysis for Breast Cancer Using Gene Expression Profiles. 16
Poster Session
- Dongjin Jang, Jaehyun Lee, Kwangmin Kim, Doheon Lee:
Building Text-mining Framework for Gene-Phenotype Relation Extraction using Deep Leaning. 17 - Hasun Yu, Jinmyung Jung, Seyeol Yoon, Mijin Kwon, Yeeok Kang, Sunghwa Bae, Doheon Lee:
Development of a Framework for Constructing a Virtual Physiological Human with the Integration of COntext Specific Directed Associations (CODA). 18 - Moonshik Shin, Sungyoung Yoo, Suhyun Ha, Kyungrin Noh, Doheon Lee:
Identifying Potential Bioactive Compounds of Natural Products by Combining ADMET Prediction Methods. 19 - Myeong-Sang Yu, Dokyun Na:
Evaluation of Disease-Associated Text-Mining Databases. 20 - Eunyoung Kim, Sangwoo Kim, Suhyun Ha, Hojung Nam:
Toxicity Predictions using Compound Descriptions. 21 - Andrew MacKinlay, Antonio Jimeno-Yepes, Bo Han:
Identification and Analysis of Medical Entity Co-occurrences in Twitter. 22 - Junseok Park, Sungji Choo, Doheon Lee:
Citizen Organization System for Advanced MEDical research (COSAMED). 23 - Yoo Kyung Jeong, Go Eun Heo, Keun Young Kang, Dong Sup Yoon, Min Song:
Analyzing the Landscape of Anti-Cancer Drug Research in Pancreatic Cancer. 24 - Wonjun Choi, Hyunju Lee:
A Text Mining Approach for Identifying Herb-chemical Relationships from Biomedical Articles. 25 - Go Eun Heo, Keun Young Kang, Min Song:
A Flexible Text Mining System for Entity and Relation Extraction in PubMed. 26 - Keeheon Lee, Yonghwan Kim, Seung Han Baek, Min Song:
Analyzing Subject-Method Network of Bioinformatics and Biology. 27 - Hasun Yu, Jinmyung Jung, Doheon Lee, Sangwoo Kim:
What-if Analysis in Biomedical Networks based on Production Rule System. 28 - Woochang Hwang, Jaejoon Choi, Mijin Kwon, Doheon Lee:
Cell line specific method based on functional modules for drug sensitivity prediction. 29 - Kimin Oh, Gwan-Su Yi:
Prediction of Scaffold Proteins based on Protein Interaction and Domain Architectures. 30
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