Harnessing naturally randomized transcription to infer regulatory relationships among genes
-
* Corresponding author: John D Storey jstorey@u.washington.edu
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.
Genome Biology 2007, 8:R219 doi:10.1186/gb-2007-8-10-r219
Published: 11 October 2007Additional 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: 4MB 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
