Catapult – Associating new Genes with Traits, Phenotypes, and Diseases

Catapult

:: DESCRIPTION

Catapult (Combining dATa Across species using Positive-Unlabeled Learning Techniques), is a supervised machine learning method that uses a biased support vector machine where the features are derived from walks in a heterogeneous gene-trait network.

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::DEVELOPER

the Marcotte Lab at University of Texas at Austin

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 Catapult

:: MORE INFORMATION

Citation:

Prediction and validation of gene-disease associations using methods inspired by social network analyses.
Singh-Blom UM, Natarajan N, Tewari A, Woods JO, Dhillon IS, Marcotte EM.
PLoS One. 2013 May 1;8(5):e58977. doi: 10.1371/journal.pone.0058977.