Learning from positive and unlabeled documents for retrieval of bacterial protein-protein interaction literature

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6004 LNBI, Issue , 2010, Pages 62-70

  Liu, Hongfang ^a   Torii, Manabu ^b   Xu, Guixian ^a,d   Hu, Zhangzhi ^c   Goll, Johannes ^e  

^a Department of Biostatistics Bioinformatics and Biomathematics ^*  (United States)

^b Imaging Science and Information Systems Center   (United States)

^c GEORGETOWN UNIVERSITY MEDICAL CENTER   (United States)

^d BEIJING INSTITUTE OF TECHNOLOGY   (China)

^e J CRAIG VENTER INSTITUTE   (United States)

Author keywords

Document retrieval; Learning from positive and unlabeled; Protein protein interaction

Indexed keywords

AUTOMATED SYSTEMS; BACTERIAL PROTEIN; BIOLOGICAL RESEARCH; CURATION; DOCUMENT RETRIEVAL; DOMAIN EXPERTS; HIGH-THROUGHPUT GENOMICS; KNOWLEDGE BASE; KNOWLEDGE BASIS; MACHINE LEARNING ALGORITHMS; PROTEIN-PROTEIN INTERACTION NETWORKS; PROTEIN-PROTEIN INTERACTIONS; PROTEOMICS TECHNOLOGY; RELEVANT DOCUMENTS; UNLABELED DATA; UNLABELED DOCUMENTS;

AUTOMATION; BACTERIOLOGY; INFORMATION RETRIEVAL; KNOWLEDGE BASED SYSTEMS; MOLECULAR BIOLOGY; PROTEINS;

LEARNING ALGORITHMS;

EID: 77953743348     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13131-8_8     Document Type: Conference Paper

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