Exceptional Edges matrices from "Guilt by Association" Is the Exception Rather Than the Rule in Gene Networks Gillis, J. and Pavlidis, P. (2012) PLoS Computational Biology, 8 (3).

Gillis, J., Pavlidis, P. (2012) Exceptional Edges matrices from "Guilt by Association" Is the Exception Rather Than the Rule in Gene Networks Gillis, J. and Pavlidis, P. (2012) PLoS Computational Biology, 8 (3). [Dataset]

[thumbnail of Human Exceptional Edges matrices (MatLab)] Other (Human Exceptional Edges matrices (MatLab))
human_excep.mat - Published Version
Available under License Creative Commons Attribution.
Download (1MB)
[thumbnail of Yeast Exceptional Edges matrices (MatLab)] Other (Yeast Exceptional Edges matrices (MatLab))
yeast_excep.mat - Published Version
Available under License Creative Commons Attribution.
Download (1MB)
[thumbnail of Human Exceptional Edges matrices (Text)] Plain Text (Human Exceptional Edges matrices (Text))
human_exception_list.txt - Published Version
Available under License Creative Commons Attribution.
Download (1MB)
[thumbnail of Yeast Exceptional Edges matrices (Text)] Plain Text (Yeast Exceptional Edges matrices (Text))
yeast_exception_list.txt - Published Version
Available under License Creative Commons Attribution.
Download (784kB)

Abstract

These are the interaction matrices, with each gene replaced by a score indicating its agregate exceptionality. The underlying data (which gives criticality for each GO group, as opposed to an aggregate score) is some gigabytes large. The exceptionality matrices are sufficient to replicate almost all the results of the paper (but, unfortunately, doesn’t let one examine the criticality of individual GO subnetworks).

Item Type: Dataset
Subjects: bioinformatics
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification
bioinformatics > genomics and proteomics > genetics & nucleic acid processing
bioinformatics > genomics and proteomics
bioinformatics > computational biology
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > genes, structure and function
CSHL Authors:
Communities: CSHL labs > Gillis Lab
Depositing User: Matt Covey
Date: 2012
Date Deposited: 29 Apr 2013 15:42
Last Modified: 29 Apr 2013 15:42
Related URLs:
URI: https://repository.cshl.edu/id/eprint/28276

Actions (login required)

Administrator's edit/view item Administrator's edit/view item