Biclustering reveals breast cancer tumour subgroups with common clinical features and improves prediction of disease recurrence

BMC Genomics

Volumn 14, Issue 1, 2013, Pages

  Wang, Yi Kan ^a   Print, Cristin G ^b   Crampin, Edmund J ^a,b,c  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

^c The University of Melbourne   (Australia)

Author keywords

Biclustering; Breast cancer; Gene expression profiles; Survival prediction; Tumour classification

Indexed keywords

BIOLOGICAL MARKER;

ARTICLE; BREAST CANCER; CANCER GENETICS; CANCER PROGNOSIS; CANCER RECURRENCE; CANCER SURVIVAL; CLINICAL FEATURE; DISEASE FREE SURVIVAL; GENE EXPRESSION PROFILING; HUMAN; PATIENT INFORMATION; SURVIVAL PREDICTION;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; BREAST NEOPLASMS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; DISEASE-FREE SURVIVAL; HUMANS; KAPLAN-MEIER ESTIMATE; MIDDLE AGED; RECURRENCE; TRANSCRIPTOME; TUMOR MARKERS, BIOLOGICAL;

EID: 84874738536     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/1471-2164-14-102     Document Type: Article

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