Identifying disease genes using machine learning and gene functional similarities, assessed through Gene Ontology
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 marker...
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| Outros Autores: | , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2019
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.18/5930 |
| País: | Portugal |
| Oai: | oai:repositorio.insa.pt:10400.18/5930 |