Integrated analysis of independent gene expression microarray datasets improves the predictability of breast cancer outcome

BMC Genomics

Volumn 8, Issue , 2007, Pages

  Zhang, Zhe ^a   Chen, Dechang ^c   Fenstermacher, David A ^b  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

^b H LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE   (United States)

^c Uniformed Services University of the Health Sciences   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; AREA UNDER THE CURVE; ARTICLE; BREAST CANCER; CANCER RECURRENCE; CELL CYCLE M PHASE; CLINICAL EDUCATION; CORRELATION ANALYSIS; DISEASE SIMULATION; GENE EXPRESSION PROFILING; GENETIC DATABASE; HUMAN; MICROARRAY ANALYSIS; PREDICTION; PROGNOSIS; RECURRENCE RISK; ROC CURVE; SENSITIVITY AND SPECIFICITY; TREATMENT OUTCOME; VALIDATION PROCESS; BREAST TUMOR; DNA MICROARRAY; FEMALE; GENETICS; PATHOLOGY; VALIDATION STUDY;

BREAST NEOPLASMS; FEMALE; GENE EXPRESSION PROFILING; HUMANS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROGNOSIS; ROC CURVE;

EID: 35948975743     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/1471-2164-8-331     Document Type: Article

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