A geometric approach to determine association and coherence of the activation times of cell-cycling genes under differing experimental conditions

Bioinformatics

Volumn 20, Issue 16, 2004, Pages 2521-2528

  Liu, Delong ^a   Weinberg, Clarice R ^a   Peddada, Shyamal D ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CELL CYCLE PROTEIN;

ARTICLE; CELL CULTURE; CELL CYCLE; CELL CYCLE G1 PHASE; CELL CYCLE G2 PHASE; CELL CYCLE S PHASE; CELL DIVISION; CELL GROWTH; CELL SYNCHRONIZATION; CLINICAL PROTOCOL; CONTROLLED STUDY; DATA ANALYSIS; GENE ACTIVATION; GENE EXPRESSION; GENE FUNCTION; GENE SEQUENCE; GENETIC ASSOCIATION; HELA CELL; HUMAN; HUMAN CELL; MATHEMATICAL COMPUTING; METHODOLOGY; MITOSIS; MITOSIS INHIBITION; NUCLEOTIDE SEQUENCE; PRIORITY JOURNAL; ROTATION; STATISTICAL ANALYSIS; STATISTICAL MODEL; TIME;

EID: 8844266856     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bth274     Document Type: Article

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