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Separation of samples into their constituents using gene expression data
D Venet1, F Pecasse, C Maenhaut
1I.R.I.B.H.N., Campus Hopital Erasme, Route de Lennik 808 Bat C-CP602, Brussels, B-1070, Belgium. davenet@ulb.ac.be
Bioinformatics (Oxford, England)
|July 27, 2001
Abstract:
Gene expression measurements are a powerful tool in molecular biology, but when applied to heterogeneous samples containing more than one cellular type the results are difficult to interpret. We present here a new approach to this problem allowing to deduce the gene expression profile of the various cellular types contained in a set of samples directly from the measurements taken on the whole sample.