Support vector regression applied to the determination of the developmental age of a Drosophila embryo from its segmentation gene expression patterns

Bioinformatics

Volumn 18, Issue SUPPL. 1, 2002, Pages

  Myasnikova, E ^a   Samsonova, A ^b   Samsonova, M ^a   Reinitz, J ^c  

^a PETER THE GREAT ST PETERSBURG POLYTECHNIC UNIVERSITY   (Russian Federation)

^b WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

^c STONY BROOK UNIVERSITY   (United States)

Author keywords

Development; Drosophila; Embryo staging; Gene expression patterns; Segmentation genes; Support vector regression

Indexed keywords

ALGORITHM; CONFERENCE PAPER; DROSOPHILA; EMBRYO SEGMENTATION; EXPRESSION VECTOR; FACTORIAL ANALYSIS; GENE EXPRESSION; MORPHOLOGY; PREDICTION; PRIORITY JOURNAL; AGING; ANIMAL; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPARATIVE STUDY; COMPUTER ANALYSIS; EVALUATION; GENE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; METHODOLOGY; PHYSIOLOGY; PRENATAL DEVELOPMENT; REGRESSION ANALYSIS; VALIDATION STUDY;

AGING; ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTING METHODOLOGIES; DROSOPHILA; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, DEVELOPMENTAL; GENES, INSECT; PATTERN RECOGNITION, AUTOMATED; REGRESSION ANALYSIS;

EID: 4644258117     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/18.suppl_1.S87     Document Type: Conference Paper

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