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Computational Approaches for Disease Gene Identification
[article]
2017
arXiv
pre-print
Identifying disease genes from human genome is an important and fundamental problem in biomedical research. Despite many publications of machine learning methods applied to discover new disease genes, it still remains a challenge because of the pleiotropy of genes, the limited number of confirmed disease genes among whole genome and the genetic heterogeneity of diseases. Recent approaches have applied the concept of 'guilty by association' to investigate the association between a disease
arXiv:1704.03548v2
fatcat:obp2u37rovcsxenz4trbojz3qu