Article
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...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- b1f8493b-63db-5fe4-8e58-0320137e9343
- DOI
- 10.1101/472217
