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. 2009 Jun 19;25(21):2882–2889. doi: 10.1093/bioinformatics/btp378

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© The Author(s) 2009. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Fig. 1. — Multiple samples taken from even the same tumor can be composed of different mixing proportions of component sources, giving rise to significantly different tumor expression profiles compared with the expression profile of the homogeneous cancer cell population. Methods for de-convolving sample heterogeneity and removing the contributions of non-cancerous cell populations to the measured expression profile aim to re-construct the expression profile of the homogeneous cancer cell population.