Discovering epistasis interactions in Alzheimer’s disease using integrated framework of ensemble learning and multifactor dimensionality reduction (MDR)-Reference-Cited by-同舟云学术

Discovering epistasis interactions in Alzheimer’s disease using integrated framework of ensemble learning and multifactor dimensionality reduction (MDR)

Published:2023-07 Issue:7 Volume:14 Page:101986
ISSN:2090-4479
Container-title:Ain Shams Engineering Journal
language:en
Short-container-title:Ain Shams Engineering Journal

Author:

Abd El Hamid Marwa M.,Shaheen Mohamed,Omar Yasser M.K.,Mabrouk Mai S.

Publisher

Elsevier BV

Subject

General Engineering

Reference56 articles.

1. Precision medicine in diabetes prevention, classification and management;Xie;J Diabetes Investig,2018

2. Multiple sclerosis: an associated single-nucleotide polymorphism study on Egyptian population;Hamid;Network Modeling Analysis in Health Informatics and Bioinformatics,2020

3. A survey about methods dedicated to epistasis detection;Niel;Front Genet,2015

4. Epistatic interactions and drug response;Weigelt;J Pathol,2014

5. Epistasis and Its Implications for Personal Genetics;Moore;Am J Hum Genet,2009

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