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This article is part of the supplement: Proceedings of the 2011 International Conference on Bioinformatics and Computational Biology (BIOCOMP'11)

Open Access Research

Genome-wide prediction and analysis of human tissue-selective genes using microarray expression data

Shaolei Teng1, Jack Y Yang2 and Liangjiang Wang13*

Author Affiliations

1 Department of Genetics and Biochemistry, Clemson University, Clemson, SC 29634, USA

2 Harvard Medical School, Harvard University, P.O. Box 400888, Cambridge, MA 02115, USA

3 J.C. Self Research Institute of Human Genetics, Greenwood Genetic Center, Greenwood, SC 29646, USA

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BMC Medical Genomics 2013, 6(Suppl 1):S10  doi:10.1186/1755-8794-6-S1-S10

Published: 23 January 2013

Additional files

Additional file 1:

List of brain-specific gene targets. The full list of candidate brain-specific genes identified in this study with positive scores.

Format: XLS Size: 253KB Download file

This file can be viewed with: Microsoft Excel Viewer

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Additional file 2:

List of liver-specific gene targets. The full list of candidate liver-specific genes identified in this study with positive scores.

Format: XLS Size: 106KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional file 3:

Figure S1 ROC curves to show the RF classifier performances for predicting different tissue-selective genes.

Format: JPG Size: 118KB Download file

Open Data