Novel directions in data pre-processing and genome-wide association study (GWAS) methodologies to overcome ongoing challenges-Reference-Cited by-同舟云学术

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Novel directions in data pre-processing and genome-wide association study (GWAS) methodologies to overcome ongoing challenges

Published:2021 Issue: Volume:24 Page:100586
ISSN:2352-9148
Container-title:Informatics in Medicine Unlocked
language:en
Short-container-title:Informatics in Medicine Unlocked

Author:

Mortezaei Zahra^ORCID,Tavallaei Mahmood

Publisher

Elsevier BV

Subject

Health Informatics

Reference102 articles.

1. Design considerations for genetic linkage and association studies;Nsengimana,2017

2. GWAS-based machine learning approach to predict duloxetine response in major depressive disorder;Maciukiewicz;J Psychiatr Res,2018

3. Genetic linkage analysis in the age of whole-genome sequencing;Ott;Nat Rev Genet,2015

4. Chapter 11 : genome-wide association studies;Bush;PLoS Comput Biol,2012

5. Handbook of statistical genomics;Balding,2019

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2. Cytokine- and Vascular Endothelial Growth Factor-Related Gene-Based Genome-Wide Association Study of Low-Dose Ketamine Infusion in Patients with Treatment-Resistant Depression;CNS Drugs;2023-02-10

3. Detection of Candidate Genes Associated with Fecundity through Genome-Wide Selection Signatures of Katahdin Ewes;Animals;2023-01-13

4. Recent innovations and in-depth aspects of post-genome wide association study (Post-GWAS) to understand the genetic basis of complex phenotypes;Heredity;2021-10-23

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