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Predicting disease genes using protein–protein interactions
Journal of Medical Genetics · 2006 · Vol. 43(8) · pp. 691–698
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.
Machine Learning in BioinformaticsBioinformatics and Genomic NetworksRNA modifications and cancerCandidate geneGeneGeneticsBiologyPhenotypeDiseaseComputational biologyMedicine
MeSH terms
AnimalsDiseaseHumansProtein BindingProteinsBenchmarkingGenetic Predisposition to DiseaseDatabases, Protein
Citations
586
FWCI
10.32
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References
32
Percentile
99%
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References
Development of Human Protein Reference Database as an Initial Platform for Approaching Systems Biology in Humans
Genome Research · 2003 · 1,108 citations
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