Automated quantitative trait locus analysis (AutoQTL)

Automated quantitative trait locus analysis (AutoQTL)

Abstract Background Quantitative Trait Locus (QTL) analysis and Genome-Wide Association Studies (GWAS) have the power to identify variants that capture significant levels of phenotypic variance in complex traits. However, effort and time are required to select the best methods and optimize parameter...

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Bibliographic Details
Main Authors: Philip J. Freda, Attri Ghosh, Elizabeth Zhang, Tianhao Luo, Apurva S. Chitre, Oksana Polesskaya, Celine L. St. Pierre, Jianjun Gao, Connor D. Martin, Hao Chen, Angel G. Garcia-Martinez, Tengfei Wang, Wenyan Han, Keita Ishiwari, Paul Meyer, Alexander Lamparelli, Christopher P. King, Abraham A. Palmer, Ruowang Li, Jason H. Moore
Format: Article
Language:English
Published: BMC 2023-04-01
Series:BioData Mining
Subjects:
QTL
GWAS
Automated
Machine learning
Genetic programming
Evolutionary algorithms
Online Access:https://doi.org/10.1186/s13040-023-00331-3

Internet

https://doi.org/10.1186/s13040-023-00331-3

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