Predicting disease genes using protein–protein interactions

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Authors

Martin Oti · Radboud University Nijmegen

Abstract

Exploiting protein-protein interactions can greatly increase the likelihood of finding positional candidate disease genes. When applied on a large scale they can lead to novel candidate gene predictions.

Topics & Keywords

Machine Learning in Bioinformatics Bioinformatics and Genomic Networks RNA modifications and cancer

Publication Details

Published in: Journal of Medical Genetics

Volume 43, Issue 8, pp. 691-698

DOI: 10.1136/jmg.2006.041376

Field-Weighted Citation Impact: 10.31

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Predicting disease genes using protein–protein interactions

Authors

Abstract

Topics & Keywords

Publication Details