Prognostic meta-signature of breast cancer developed by two-stage mixture modeling of microarray data

BMC Genomics

Volumn 5, Issue , 2004, Pages

  Shen, Ronglai ^a   Ghosh, Debashis ^a   Chinnaiyan, Arul M ^a,b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEMENTARY DNA; OLIGONUCLEOTIDE;

ARTICLE; BAYES THEOREM; BREAST CANCER; CANCER SURVIVAL; CELL CYCLE; CONTROLLED STUDY; DNA MICROARRAY; GENE EXPRESSION; HUMAN; INTERMETHOD COMPARISON; PREDICTION; PROBABILITY; PROGNOSIS; SIGNAL TRANSDUCTION; STANDARDIZATION; STATISTICAL MODEL; VALIDATION PROCESS; AUTOMATED PATTERN RECOGNITION; BREAST TUMOR; CHEMISTRY; CLUSTER ANALYSIS; DISEASE FREE SURVIVAL; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETIC DATABASE; METABOLISM; METHODOLOGY; PATHOLOGY; RECURRENT DISEASE;

BAYES THEOREM; BREAST NEOPLASMS; CELL CYCLE; CLUSTER ANALYSIS; DATABASES, GENETIC; DISEASE-FREE SURVIVAL; DNA, COMPLEMENTARY; GENE EXPRESSION; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; OLIGONUCLEOTIDES; PATTERN RECOGNITION, AUTOMATED; PROGNOSIS; RECURRENCE; SIGNAL TRANSDUCTION;

EID: 20044395334     PISSN: 14712164     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/1471-2164-5-94     Document Type: Article

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