Genome Biology

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Harnessing naturally randomized transcription to infer regulatory relationships among genes

Lin S Chen1, Frank Emmert-Streib1,2 and John D Storey1,2*

Author Affiliations

1 Department of Biostatistics, University of Washington, 1705 NE Pacific St, Seattle, WA 98195, USA.

2 Department of Genome Sciences, University of Washington, 1705 NE Pacific St, Seattle, WA 98195, USA.

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Genome Biology 2007, 8:R219 doi:10.1186/gb-2007-8-10-r219

Published: 11 October 2007

Additional files

Additional data file 1:

Presented are supplementary text and figures, as referenced in the main text.

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Additional data file 2:

Presented is the entire matrix of regulatory probabilities for all genes, where the rows are genes acting as regulators and the columns are genes under regulation. Thus, the (i,j) entry of this matrix is the probability that the expression level of gene i is causal for the expression level of gene j.

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Open Data

Additional data file 3:

Presented is a list of significantly regulated genes, posterior probabilities, and other relevant information for each of the four putative regulators considered in detail.

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Open Data