An Outranking Approach for Gene Prioritization Using Multinetworks

High-throughput experimental techniques such as genome-wide association studies have been instrumental in the identification of disease-associated genes. These methods often produce large lists of disease candidate genes which are time-consuming and expensive to experimentally validate. Computationa...

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Bibliographic Details
Main Authors: Jesús Jaime Solano Noriega, Juan Carlos Leyva López, Fiona Browne, Jun Liu
Format: Article
Language:English
Published: Springer 2021-06-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://www.atlantis-press.com/article/125957732/view