An IR-aided machine learning framework for the biocreative II.5 challenge

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 7, Issue 3, 2010, Pages 454-461

  Cao, Yong Gang ^a   Li, Zuofeng ^a   Liu, Feifan ^a   Agarwal, Shashank ^a   Zhang, Qing ^a   Yu, Hong ^a  

^a UNIVERSITY OF WISCONSIN MILWAUKEE   (United States)

Author keywords

Bioinformatics (genome or protein) databases; information search and retrieval; systems and software; text mining

Indexed keywords

BIOINFORMATICS (GENOME OR PROTEIN) DATABASE; EXTERNAL KNOWLEDGE; INFORMATION SEARCH AND RETRIEVAL; MACHINE-LEARNING; ORTHOLOGS; TEXT MINING; TRAINING DATA; UNIVERSITY OF WISCONSIN-MILWAUKEE;

BIOINFORMATICS; COMPUTER SOFTWARE; GENES; LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; PROTEINS;

INFORMATION RETRIEVAL;

ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGY; DATA MINING; GENETIC DATABASE; INFORMATION RETRIEVAL; METHODOLOGY; PROTEIN ANALYSIS; UNITED STATES;

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; DATA MINING; DATABASES, GENETIC; INFORMATION STORAGE AND RETRIEVAL; PROTEIN INTERACTION MAPPING; WISCONSIN;

EID: 77955473893     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2010.56     Document Type: Article

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