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ORCIDDTMBIO@CIKM 2014: Shanghai, China
- Doheon Lee, Luonan Chen, Min Song, Hua Xu:
Proceedings of the ACM 8th International Workshop on Data and Text Mining in Bioinformatics, DTMBIO@CIKM 2014, Shanghai, China, November 7, 2014. ACM 2014, ISBN 978-1-4503-1275-2
Methods for Bio-data and Text Mining
- Min Jiang, Yang Huang, Jung-Wei Fan, Buzhou Tang, Joshua C. Denny, Hua Xu:
Parsing Clinical Text: How Good are the State-of-the-Art Parsers? 1 - Jinguang Zheng, Daniel Howsmon, Boliang Zhang, Juergen Hahn, Deborah L. McGuinness, James A. Hendler, Heng Ji:
Entity Linking for Biomedical Literature. 3-4 - Yoo Kyung Jeong, Dahee Lee, Namgi Han, Won Chul Kim
, Min Song:
Biomedical Named Entity Recognition Based on the Combination of Regional and Global Text Features. 5 - Lin Chen, Kirsten Vallmuur, Richi Nayak:
Injury Narrative Text Classification: A Preliminary Study. 7 - Seyeol Yoon, Jinmyung Jung, Hasun Yu, Mijin Kwon, Sungji Choo, Kyunghyun Park, Dongjin Jang, Sangwoo Kim, Doheon Lee:
Systematic Identification of Context-dependent Conflicting Information in Biological Pathways. 9
Applications of Bio-data and Text Mining
- Jongan Lee, Younghoon Kim, Yong Jeong, Duk L. Na, Jong-Won Kim, Kwang Hyung Lee, Doheon Lee:
Discriminatory Analysis of Alzheimer's Disease through pathway Activity inference in the Resting-State brain. 11 - Bumki Min, Gwan-Su Yi:
Inference of Disease E3s from Integrated Functional Relation Network. 13-16 - Kihoon Cha, Kimin Oh, Taeho Hwang, Gwan-Su Yi:
Identification of Coexpressed Gene Modules across Multiple Brain Diseases by a Biclustering Analysis on Integrated Gene Expression Data. 17 - Sungchul Kim, Lee Sael, Hwanjo Yu:
Identifying Cancer Subtypes based on Somatic Mutation Profile. 19-22 - Seunghwan Jung, Sejoon Lee, Sangwoo Kim, Hojung Nam:
Identification of Genomic Features in the Classification of Loss- and Gain-of-Function Mutation: [Extended Abstract]. 23 - Soobok Joe, Hojung Nam:
Identification of a Specific Base Sequence of Pathogenic E. Coli through a Genomic Analysis. 25-28
Poster Session
- Sung Jeon Song, Go Eun Heo, Ha Jin Kim, Hyo Jung Jung, Yonghwan Kim, Min Song:
Grounded Feature Selection for Biomedical Relation Extraction by the Combinative Approach. 29-32 - Yoo Kyung Jeong, Dahee Lee, Min Song:
An Exploration of the Collaborative Networks for Clinical and Academic Domains in AIDS Research: A Spatial Scientometric Approach. 33 - Hea-Jin Kim, Sung Jeon Song, Yonghwan Kim, Min Song:
A Display of Conceptual Structures in the Epidemiologic Literature. 35 - Go Eun Heo, Keeheon Lee, Min Song:
Inferring Undiscovered Public Knowledge by Using Text Mining-driven Graph Model. 37 - Yong-il Lee, Sang-Hyob Nam, Jaeseung Jeong:
Mining the Main Health Trend of the General Public based on Opinion Mining of Korean Blogsphere. 39 - Suhyun Ha, Sunyong Yoo, Moonshik Shin, Jin Sook Kwak, Oran Kwon, Min Chang Choi, Keon Wook Kang, Hojung Nam, Doheon Lee:
Integrative Database for Exploring Compound Combinations of Natural Products for Medical Effects. 41 - Kwangmin Kim, Sejoon Lee, Kyunghyun Park, Dongjin Jang, Doheon Lee:
Mining Context-Specific Rules from the Literature for Virtual Human Model Simulation. 43 - Jaesub Park, Jaeho Kim, Junseok Park, Sunghwa Bae, Hyungseok Kim, Doheon Lee:
Visualization of Zoomable Network for Multi-Compounds and Multi-Targets Analysis. 45 - Jinmyung Jung, Hasun Yu, Seyeol Yoon, Mijin Kwon, Sungji Choo, Sangwoo Kim, Doheon Lee:
Construction of Multi-level Networks Incorporating Molecule, Cell, Organ and Phenotype Properties for Drug-induced Phenotype Prediction. 47 - Tao Zeng, Ziming Wang, Luonan Chen:
Detecting Phosphorylation Determined Active Protein Interaction Network during Cancer Development by Robust Network Component Analysis. 49 - Jeongwoo Kim, Hyunjin Kim, Yunku Yeu, Mincheol Shin, Sanghyun Park:
TILD: A Strategy to Identify Cancer-related Genes Using Title Information in Literature Data. 51
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