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Identifying disease genes using machine learning and gene functional similarities, assessed through Gene Ontology

2018-11-19

Abstract excerpt

Identifying disease genes from a vast amount of genetic data is one of the most challenging tasks in the post-genomic era. Also, complex diseases present highly heterogeneous genotype, which difficult biological marker identification. Machine learning methods are widely used to identify these markers, but their performance is highly dependent upon the size and quality of available data. In this study, we demonstra...

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Literature Corpus work
b1f8493b-63db-5fe4-8e58-0320137e9343
DOI
10.1101/472217
Open publication

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Identifying disease genes using machine learning and gene functional similarities, assessed through Gene OntologyDOI 10.1101/472217
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