Data Perturbation Independent Diagnosis and Validation of Breast Cancer Subtypes Using Clustering and Patterns

Cancer Informatics

Volumn 2, Issue , 2006, Pages

  Alexe, G ^a,b   Dalgin, G S ^c   Ramaswamy, R ^b,d   Delisi, C ^e   Bhanot, G ^a,b,e,f  

^a IBM T J WATSON RESEARCH CENTER   (United States)

^b INSTITUTE FOR ADVANCED STUDY   (United States)

^c BOSTON UNIVERSITY   (United States)

^d JAWAHARLAL NEHRU UNIVERSITY   (India)

^e Boston University   (United States)

^f RUTGERS UNIVERSITY   (United States)

Author keywords

Breast cancer; Clusters; Diagnosis; Multi gene Biomarkers; Patterns

Indexed keywords

ACYL COENZYME A DEHYDROGENASE; CYCLIN DEPENDENT KINASE 6; CYCLIN E; CYCLIN E1; ESTROGEN RECEPTOR ALPHA; FRACTALKINE; FRUCTOSE BISPHOSPHATASE; GLUTAMATE DEHYDROGENASE; PLASMINOGEN ACTIVATOR; STAT3 PROTEIN; TRANSCRIPTION FACTOR GATA 3; TUMOR MARKER; UNCLASSIFIED DRUG;

APOPTOSIS; ARTICLE; BASAL BREAST CANCER; BREAST CANCER; CANCER DIAGNOSIS; CLINICAL ARTICLE; CONTROLLED STUDY; DATA CLUSTERING; DATA PERTURBATION; DATA PROCESSING; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; GENE EXPRESSION REGULATION; GENE IDENTIFICATION; GENETIC VARIABILITY; HUMAN; HUMAN EPIDERMAL GROWTH FACTOR RECEPTOR 2 POSITIVE BREAST CANCER; HUMAN TISSUE; IMMUNE RESPONSE; LUMINAL A BREAST CANCER; LUMINAL B BREAST CANCER; PHENOTYPE; PREDICTIVE VALUE; PREVALENCE; SENSITIVITY AND SPECIFICITY; SIGNAL NOISE RATIO; SIGNAL TRANSDUCTION; VALIDATION STUDY;

EID: 34548783644     PISSN: None     EISSN: 11769351     Source Type: Journal    
DOI: 10.1177/117693510600200006     Document Type: Article

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