Predicting genetic interactions with random walks on biological networks

doi:10.1186/1471-2105-10-17

BMC Bioinformatics

Volume 10

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Research article

Predicting genetic interactions with random walks on biological networks

Kyle C Chipman¹ and Ambuj K Singh¹^,2

¹Biomolecular Science and Engineering Program, UC Santa Barbara, Santa Barbara, CA, USA

²Department of Computer Science, UC Santa Barbara, Santa Barbara, CA, USA

author email corresponding author email

BMC Bioinformatics 2009, 10:17doi:10.1186/1471-2105-10-17


Published:	12 January 2009

Additional files

Additional file 1:

Supplemental data of AUC values. This supplement includes two tables, one each for the worm and yeast data. Each table displays AUC values for the four levels of information used (80, 20, 10, 5). Futhermore, AUC values are provided for both the decision tree and logistic regression classifiers.

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