Separation of samples into their constituents using gene expression data.
other · Level V
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- Record sourced from PubMed, PMID 11473019.
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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.
Medical subject headings
- Computational Biology
- Gene Expression Profiling