Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes

BMC Bioinformatics

Volumn 6, Issue , 2005, Pages

  Warnat, Patrick ^a   Eils, Roland ^a,b   Brors, Benedikt ^a  

^a GERMAN CANCER RESEARCH CENTER DKFZ   (Germany)

^b UNIVERSITY OF HEIDELBERG   (Germany)

Author keywords

Cancer; Classification; Cross platform analysis; DNA microarray; Gene expression profiling

Indexed keywords

CANCER; CROSS-PLATFORM; DNA MICRO-ARRAY; GENE EXPRESSION PROFILING; GENE EXPRESSION SIGNATURES; GENERALIZATION PERFORMANCE; MICROARRAY GENE EXPRESSION DATA; OLIGONUCLEOTIDE MICROARRAY;

DISEASES; GENE EXPRESSION; MICROARRAYS; OLIGONUCLEOTIDES;

CLASSIFICATION (OF INFORMATION);

COMPLEMENTARY DNA;

ACCURACY; ACUTE GRANULOCYTIC LEUKEMIA; ARTICLE; BREAST CANCER; CANCER CLASSIFICATION; COMPUTER PROGRAM; DATA ANALYSIS; DNA DETERMINATION; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENETIC ANALYSIS; GENETIC DATABASE; MALIGNANT NEOPLASTIC DISEASE; PHENOTYPE; PREDICTION; PROSTATE CANCER; RELIABILITY; SCORING SYSTEM; STATISTICAL MODEL; VALIDATION PROCESS; ANIMAL; BREAST TUMOR; FEMALE; GENE EXPRESSION REGULATION; GENETICS; HUMAN; MALE; MYELOID LEUKEMIA; PROCEDURES; PROSTATE TUMOR;

ANIMALS; BREAST NEOPLASMS; FEMALE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; LEUKEMIA, MYELOID; MALE; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PHENOTYPE; PROSTATIC NEOPLASMS;

EID: 27844594381     PISSN: 14712105     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-6-265     Document Type: Article

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