From microarray to biology: An integrated experimental, statistical and in silico analysis of how the extracellular matrix modulates the phenotype of cancer cells

BMC Bioinformatics

Volumn 9, Issue SUPPL. 9, 2008, Pages

  Dozmorov, Mikhail G ^a   Kyker, Kimberly D ^a   Hauser, Paul J ^a   Saban, Ricardo ^a   Buethe, David D ^a   Dozmorov, Igor ^b   Centola, Michael B ^a   Culkin, Daniel J ^a   Hurst, Robert E ^a  

^a UNIVERSITY OF OKLAHOMA COLLEGE OF MEDICINE   (United States)

^b OKLAHOMA MEDICAL RESEARCH FOUNDATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EXPERIMENTAL CONDITIONS; EXPERIMENTAL DETERMINATION; EXTRACELLULAR MATRICES; HYPOTHESIS GENERATION; MICROARRAY DATASET; REGULATORY ELEMENTS; ROBUST LINEAR REGRESSION; STRUCTURED MODEL;

GENES;

TRANSCRIPTION;

TRANSCRIPTION FACTOR; SCLEROPROTEIN; TUMOR MARKER; TUMOR PROTEIN;

CANCER CELL; CANCER CELL CULTURE; CANCER GENETICS; CLUSTER ANALYSIS; COMPUTER MODEL; CONFERENCE PAPER; CONTROLLED STUDY; DATA ANALYSIS; EXPERIMENTAL STUDY; EXTRACELLULAR MATRIX; GENE EXPRESSION; GENE NUMBER; GENETIC DATABASE; GENOME ANALYSIS; HUMAN; HUMAN CELL; LINEAR REGRESSION ANALYSIS; MICROARRAY ANALYSIS; MOLECULAR BIOLOGY; PHENOTYPE; PREDICTION; STATISTICAL ANALYSIS; TRANSCRIPTION REGULATION; ARTICLE; BIOLOGICAL MODEL; BIOLOGY; COMPUTER SIMULATION; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENETICS; METABOLISM; METHODOLOGY; NEOPLASM; SIGNAL TRANSDUCTION; SYSTEM ANALYSIS;

BIOLOGY; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; EXTRACELLULAR MATRIX PROTEINS; GENE EXPRESSION PROFILING; MODELS, BIOLOGICAL; NEOPLASM PROTEINS; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PHENOTYPE; SIGNAL TRANSDUCTION; SYSTEMS INTEGRATION; TUMOR MARKERS, BIOLOGICAL;

EID: 49649129157     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-9-S9-S4     Document Type: Conference Paper

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