Difference between revisions of "Domain-based PPI network by Weighted Mutual Information (WMI)"
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<big>We present a method for inferring accurate functional PPIs based on the similarity of domain compositions between proteins by ''weighted mutual information'' that assigned different weights to domains based on their genome-wide frequencies. | <big>We present a method for inferring accurate functional PPIs based on the similarity of domain compositions between proteins by ''weighted mutual information'' that assigned different weights to domains based on their genome-wide frequencies. | ||
</big> | </big> | ||
| − | + | Catapult is a computer algorithm for associating new genes with traits, phenotypes, and diseases. Catapult leverages hundreds of thousands of known individual gene-phenotype associations from humans, mice, yeast, Arabidopsis, and C. elegans, and interprets them with the aid of a genome-scale functional network of human genes (HumanNet) in a graph-based formalism in order to rank new candidate genes | |
*[http://www.netbiolab.org/wiki/images/0/09/WMI_program.zip Source codes for calculating WMI] | *[http://www.netbiolab.org/wiki/images/0/09/WMI_program.zip Source codes for calculating WMI] | ||
*[http://www.netbiolab.org/wiki/images/1/1e/SC_WMI_12K.txt Yeast PPI network] | *[http://www.netbiolab.org/wiki/images/1/1e/SC_WMI_12K.txt Yeast PPI network] | ||
*[http://www.netbiolab.org/wiki/images/4/44/HS_WMI_94K.txt Human PPI network] | *[http://www.netbiolab.org/wiki/images/4/44/HS_WMI_94K.txt Human PPI network] | ||
| + | * | ||
| + | Citation: Jung Eun Shim and Insuk Lee, Weighted mutual information analysis sub-stantially improves domain-based functional network models (Under review) | ||
Revision as of 16:10, 26 March 2016
We present a method for inferring accurate functional PPIs based on the similarity of domain compositions between proteins by weighted mutual information that assigned different weights to domains based on their genome-wide frequencies. Catapult is a computer algorithm for associating new genes with traits, phenotypes, and diseases. Catapult leverages hundreds of thousands of known individual gene-phenotype associations from humans, mice, yeast, Arabidopsis, and C. elegans, and interprets them with the aid of a genome-scale functional network of human genes (HumanNet) in a graph-based formalism in order to rank new candidate genes
Citation: Jung Eun Shim and Insuk Lee, Weighted mutual information analysis sub-stantially improves domain-based functional network models (Under review)
