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Open Access Methodology article

Applying unmixing to gene expression data for tumor phylogeny inference

Russell Schwartz1* and Stanley E Shackney2

Author Affiliations

1 Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA USA

2 Departments of Human Oncology and Human Genetics, Drexel University School of Medicine, Pittsburgh, PA USA

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BMC Bioinformatics 2010, 11:42  doi:10.1186/1471-2105-11-42

Published: 20 January 2010

Additional files

Additional file 1:

Marker genes for the lung cancer four-component inference. This supplementary table provides relative expression levels inferred for each annotated microarray probe for the Jones et al. lung cancer data set for each of the four inferred mixture components. Columns of the table correspond to the component number, the gene ID, gene description, and relative expression level. Values are sorted by component and in decreasing order of relative expression level within each component.

Format: CSV Size: 4MB Download file

Open Data

Additional file 2:

Marker genes for the lung cancer six-component inference. This supplementary table provides relative expression levels inferred for each annotated microarray probe for the Jones et al. lung cancer data set for each of the six inferred mixture components. Columns of the table correspond to the component number, the gene ID, gene description, and relative expression level. Values are sorted by component and in decreasing order of relative expression level within each component.

Format: CSV Size: 6MB Download file

Open Data