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Predicting candidate genes from phenotypes, functions, and anatomical site of expression
[article]
2020
biorxiv/medrxiv
pre-print
Motivation: Over the past years, many computational methods have been developed to incorporate information about phenotypes for disease gene prioritization task. These methods generally compute the similarity between a patient's phenotypes and a database of gene-phenotype to find the most phenotypically similar match. The main limitation in these methods is their reliance on knowledge about phenotypes associated with particular genes, which is not complete in humans as well as in many model
doi:10.1101/2020.03.30.015594
fatcat:vsr2lpzbmvcz7jesaio7dvrd6i