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Prediction performance of GeneMANIA on the extended yeast benchmark

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posted on 2011-12-30, 21:34 authored by Sara Mostafavi, Debajyoti Ray, David Warde-Farley, Chris Grouios, Quaid Morris
Prediction performance of GeneMANIA with five yeast networks with equal weight prior (GM-5), 15 yeast networks with equal weight prior (GM-15), GeneMANIA with the bioPIXIE network (GM-biPx), and the TSS algorithm with five yeast networks (TSS-5). Bars show mean error (measured as 1 - area under the receiver operating characteristic curve [1 - AUC]) on 12 evaluation classes based on ontologies (biological process [BP] and cellular component [CC]) and specificity levels of 3 to 10, 11 to 30, 31 to 100, and 101 to 300 annotations. Error bars indicate the standard error in the mean.

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Taken from "GeneMANIA: a real-time multiple association network integration algorithm for predicting gene function"

Genome Biology 2008;9(Suppl 1):S4-S4.

Published online 27 Jun 2008



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