UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Identification of prognostic signatures in breast cancer microarray data using Bayesian techniques

Carrivick, L; Rogers, S; Clark, J; Campbell, C; Girolami, M; Cooper, C; (2006) Identification of prognostic signatures in breast cancer microarray data using Bayesian techniques. JOURNAL OF THE ROYAL SOCIETY INTERFACE , 3 (8) pp. 367-381. 10.1098/rsif.2005.0093.

Full text not available from this repository.
Type: Article
Title: Identification of prognostic signatures in breast cancer microarray data using Bayesian techniques
DOI: 10.1098/rsif.2005.0093
Keywords: Science & Technology, Multidisciplinary Sciences, Science & Technology - Other Topics, MULTIDISCIPLINARY SCIENCES, breast cancer, microarray data, cluster analysis, ENDOTHELIAL GROWTH-FACTOR, GENE-EXPRESSION PATTERNS, DATA SETS, ESTROGEN, DECOMPOSITION, PROFILES, MODEL
UCL classification: UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Maths and Physical Sciences
URI: http://discovery.ucl.ac.uk/id/eprint/1339716
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item