An application of conditional logistic regression and multifactor dimensionality reduction for detecting gene-gene Interactions on risk of myocardial infarction: The importance of model validation
<p>Abstract</p> <p>Background</p> <p>To examine interactions among the angiotensin converting enzyme (<it>ACE</it>) insertion/deletion, plasminogen activator inhibitor-1 (<it>PAI-1</it>) <it>4G/5G</it>, and tissue plasminogen activato...
Main Authors: | Coffey Christopher S, Hebert Patricia R, Ritchie Marylyn D, Krumholz Harlan M, Gaziano J Michael, Ridker Paul M, Brown Nancy J, Vaughan Douglas E, Moore Jason H |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2004-04-01
|
Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://www.biomedcentral.com/1471-2105/5/49 |
Similar Items
-
Multifactor dimensionality reduction: An analysis strategy for modelling and detecting gene - gene interactions in human genetics and pharmacogenomics studies
by: Motsinger Alison A, et al.
Published: (2006-03-01) -
Risk score modeling of multiple gene to gene interactions using aggregated-multifactor dimensionality reduction
by: Dai Hongying, et al.
Published: (2013-01-01) -
Performance of model-based multifactor dimensionality reduction methods for epistasis detection by controlling population structure
by: Fentaw Abegaz, et al.
Published: (2021-02-01) -
Discovering epistasis interactions in Alzheimer’s disease using integrated framework of ensemble learning and multifactor dimensionality reduction (MDR)
by: Marwa M. Abd El Hamid, et al.
Published: (2023-07-01) -
Epistasis of polymorphisms related to the articular cartilage extracellular matrix in knee osteoarthritis: Analysis-based multifactor dimensionality reduction
by: Javier Fernández-Torres, et al.
Published: (2020-03-01)