Log on / register
BioMed Central home | Journals A-Z | Feedback | Support | My details
.refereed research
 |  |  |  |  | 


Open AccessHighly AccessMethod

Harnessing naturally randomized transcription to infer regulatory relationships among genes

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

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

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

author email corresponding author email

Genome Biology 2007, 8:R219doi:10.1186/gb-2007-8-10-r219

Published: 11 October 2007

Subject areas: Bioinformatics, Genetics


Additional files

Additional data file 1:

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

Format: PDF Size: 397KB Download file

This file can be viewed with: Adobe Acrobat Reader

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.

Format: ZIP Size: 4.1MB Download file

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.

Format: PDF Size: 34KB Download file

This file can be viewed with: Adobe Acrobat Reader


© 1999-2008 BioMed Central Ltd unless otherwise stated. Part of Springer Science+Business Media.