Optimal deconvolution of transcriptional profiling data using quadratic programming with application to complex clinical blood samples.

Optimal deconvolution of transcriptional profiling data using quadratic programming with application to complex clinical blood samples.

Large-scale molecular profiling technologies have assisted the identification of disease biomarkers and facilitated the basic understanding of cellular processes. However, samples collected from human subjects in clinical trials possess a level of complexity, arising from multiple cell types, that c...

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Bibliographic Details
Main Authors: Ting Gong, Nicole Hartmann, Isaac S Kohane, Volker Brinkmann, Frank Staedtler, Martin Letzkus, Sandrine Bongiovanni, Joseph D Szustakowski
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3217948?pdf=render

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http://europepmc.org/articles/PMC3217948?pdf=render

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