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...
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 |
Similar Items
-
An Outranking Approach for Gene Prioritization Using Multinetworks
by: Jesús Jaime Solano Noriega, et al.
Published: (2021-06-01) -
Improved Multidimensional Quality of Life Index Based on Outranking Relations
by: María Auxiliadora De Vicente Oliva, et al.
Published: (2022-12-01) -
Exploitation of a Medium-Sized Fuzzy Outranking Relation Based on Multi-objective Evolutionary Algorithms to Derive a Ranking
by: Juan Carlos Leyva López, et al.
Published: (2016-08-01) -
An Approach to Database Preference Queries Based on an Outranking Relation
by: Patrick Bosc, et al.
Published: (2012-08-01) -
A Multinetwork and Machine Learning Examination of Structure and Content in the United States Code
by: Keith Carlson, et al.
Published: (2021-03-01)