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Collective feature selection to identify crucial epistatic variants
Shefali S. Verma
, Anastasia Lucas
, Xinyuan Zhang
,
Yogasudha Veturi
, Scott Dudek
, Binglan Li
, Ruowang Li
, Ryan Urbanowicz
, Jason H. Moore
, Dokyoon Kim
, Marylyn D. Ritchie
Biobehavioral Health
Biochemistry & Molecular Biology
Huck Institutes of the Life Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
26
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Scopus citations
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Keyphrases
Feature Selection
100%
Epistasis
100%
Feature Selection Methods
66%
Simulation Analysis
50%
Simulation Study
33%
Machine Learning Techniques
33%
Data Mining Techniques
33%
Simulation Criteria
33%
Body Mass Index
16%
Obesity
16%
Nonparametric
16%
Nonlinear Effects
16%
Complex Disease
16%
Epistatic Effect
16%
Genetic Architecture
16%
Small Sample Size
16%
Penetrance
16%
Epistatic Interactions
16%
Number of Features
16%
Nonparametric Methods
16%
True Positive
16%
Downstream Analysis
16%
Gradient Boosting
16%
Non-parametric Data Mining
16%
Interacting Variables
16%
Nonlinear Networks
16%
Collective Approach
16%
Community Health Campaigns
16%
Fat Data
16%
Disease Features
16%
Selective Features
16%
Ranger
16%
Mathematics
Parametric
100%
Simulation Study
50%
Nonlinear
50%
Effect Size
50%
Data Mining
50%
Input Feature
25%
Computer Science
Feature Selection
100%
Feature Extraction
100%
Data Mining
18%
Simulation Study
18%
Learning System
18%
Machine Learning
18%
Small Sample Size
9%
Complex Disease
9%
Epistasis
9%
True Positive
9%
Gradient Boosting
9%
Biochemistry, Genetics and Molecular Biology
Feature Extraction
100%
Genetic Architecture
10%
Penetrance
10%
Body Mass
10%
Sample Size
10%
Epistasis
10%