Phenotype-driven gene prioritization for rare diseases using graph convolution on heterogeneous networks

Phenotype-driven gene prioritization for rare diseases using graph convolution on heterogeneous networks

Abstract Background One of the major goals of genomic medicine is the identification of causal genomic variants in a patient and their relation to the observed clinical phenotypes. Prioritizing the genomic variants by considering only the genotype information usually identifies a few hundred potenti...

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Bibliographic Details
Main Authors: Aditya Rao, Saipradeep VG, Thomas Joseph, Sujatha Kotte, Naveen Sivadasan, Rajgopal Srinivasan
Format: Article
Language:English
Published: BMC 2018-07-01
Series:BMC Medical Genomics
Subjects:
Rare diseases
Gene prioritization
Heterogeneous networks
Graph convolution
Online Access:http://link.springer.com/article/10.1186/s12920-018-0372-8

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http://link.springer.com/article/10.1186/s12920-018-0372-8

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