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- Title
Predicting relapse prior to transplantation in chronic myeloid leukemia by integrating expert knowledge and expression data.
- Authors
Yeung, K Y; Gooley, T A; Zhang, A; Raftery, A E; Radich, J P; Oehler, V G
- Abstract
Selecting a small number of signature genes for accurate classification of samples is essential for the development of diagnostic tests. However, many genes are highly correlated in gene expression data, and hence, many possible sets of genes are potential classifiers. Because treatment outcomes are poor in advanced chronic myeloid leukemia (CML), we hypothesized that expression of classifiers of advanced phase CML when detected in early CML [chronic phase (CP) CML], correlates with subsequent poorer therapeutic outcome.
- Publication
Bioinformatics (Oxford, England), 2012, Vol 28, Issue 6, p823
- ISSN
1367-4811
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/bts059