Semi-supervised learning of text classification on bacterial protein-protein interaction documents

Proceedings - 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, IJCBS 2009

Volumn , Issue , 2009, Pages 263-270

  Xu, Guixian ^a,b,c   Niu, Zhendong ^a   Uetz, Peter ^d   Gao, Xu ^e   Qin, Xuping ^f   Liu, Hongfang ^b  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

^b GEORGETOWN UNIVERSITY MEDICAL CENTER   (United States)

^c MINZU UNIVERSITY OF CHINA   (China)

^d J CRAIG VENTER INSTITUTE   (United States)

^e North China Grid Company Limited   (China)

^f UNIVERSITY OF SOUTH CHINA   (China)

Author keywords

Protein protein interaction; Semi supervised learning; Text classification

Indexed keywords

BACTERIAL PROTEIN; CELL BIOLOGY; CURATION; DATA SETS; DOCUMENT CLASSIFICATION; DOCUMENT CLASSIFICATION SYSTEMS; HIGH-THROUGHPUT GENOMICS; KNOWLEDGE BASIS; MACHINE LEARNING ALGORITHMS; MACHINE-LEARNING; NEGATIVE DOCUMENTS; POSITIVE DOCUMENTS; PROTEIN-PROTEIN INTERACTION NETWORKS; PROTEIN-PROTEIN INTERACTIONS; PROTEOMICS; PUBLIC DATA; REUTERS-21578; SECOND PROCEDURES; SEMI-SUPERVISED LEARNING; TEXT CLASSIFICATION; TWO-STEP PROCEDURE; UNLABELED DOCUMENTS;

BIOINFORMATICS; COMPUTER SCIENCE; CYTOLOGY; EDUCATION; INTELLIGENT COMPUTING; LEARNING ALGORITHMS; MOLECULAR BIOLOGY; PROTEINS; REFINING; ROBOT LEARNING; SUPERVISED LEARNING; TEXT PROCESSING;

INFORMATION RETRIEVAL SYSTEMS;

EID: 70450167556     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCBS.2009.68     Document Type: Conference Paper

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