Automatic annotation of protein motif function with gene ontology terms

BMC Bioinformatics

Volumn 5, Issue , 2004, Pages

  Lu, Xinghua ^a   Zhai, Chengxiang ^b   Gopalakrishnan, Vanathi ^c   Buchanan, Bruce G ^c  

^a MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^b University of Illinois at Urbana Champaign   (United States)

^c UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

Data mining; Feature extraction; Gene Ontology; Logistic regression; Protein motif; Supervised learning

Indexed keywords

BINARY CLASSIFICATION; FUNCTIONAL PREDICTIONS; GENE ONTOLOGY; INFORMATION RETRIEVAL PROBLEMS; LOGISTIC REGRESSION CLASSIFIER; LOGISTIC REGRESSION MODELING; LOGISTIC REGRESSIONS; PROTEIN MOTIFS;

AMINO ACIDS; DATA MINING; FEATURE EXTRACTION; KNOWLEDGE BASED SYSTEMS; REGRESSION ANALYSIS; SUPERVISED LEARNING;

PROTEINS;

MEMBRANE PROTEIN; PROTEIN TYROSINE KINASE; PROTEIN;

ALGORITHM; AMINO ACID SEQUENCE; ANALYTIC METHOD; ARTICLE; AUTOMATION; CLASSIFICATION; CONTROLLED STUDY; FACTUAL DATABASE; GENE FUNCTION; GENE ONTOLOGY; GENOME; INFORMATION RETRIEVAL; LOGISTIC REGRESSION ANALYSIS; NOMENCLATURE; PROBABILITY; PROTEIN FUNCTION; PROTEIN MOTIF; SAMPLE; BIOLOGY; GENE; GENETICS; NUCLEOTIDE SEQUENCE; PHYSIOLOGY; PREDICTIVE VALUE; PROCEDURES; PROTEIN DATABASE; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

AMINO ACID MOTIFS; COMPUTATIONAL BIOLOGY; CONSERVED SEQUENCE; DATABASES, PROTEIN; GENES; LOGISTIC MODELS; PREDICTIVE VALUE OF TESTS; PROTEINS; SENSITIVITY AND SPECIFICITY;

EID: 13244260791     PISSN: 14712105     EISSN: None     Source Type: Journal    
DOI: 10.1186/1471-2105-5-122     Document Type: Article

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