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CanPredict

Allows users to determine if particular changes are likely to be cancer-associated. The impact of each change is measured using two known methods: Sorting Intolerant From Tolerant (SIFT) and the Pfam-based LogR.E-value metric. A third method, the Gene Ontology Similarity Score (GOSS), provides an indication of how closely the gene in which the variant resides resembles other known cancer-causing genes. Scores from these three algorithms are analyzed by a random forest classifier which then predicts whether a change is likely to be cancer-associated.

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CanPredict classification

CanPredict specifications

Interface:
Web user interface
Computer skills:
Basic
Maintained:
Yes
Restrictions to use:
None
Stability:
Stable

CanPredict support

Maintainer

  • Josh Kaminker <>

Credits

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Publications

Institution(s)

Department of Bioinformatics, Genentech, Inc; South San Francisco, CA, USA

Link to literature

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