Methods in Molecular Biology - Epistasis
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23

(FIVE YEARS 23)

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Published By Springer US

9781071609460, 9781071609477

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

SNPInt-GPU: Tool for Epistasis Testing with Multiple Methods and GPU Acceleration

Methods in Molecular Biology - Epistasis ◽

10.1007/978-1-0716-0947-7_2 ◽

2021 ◽

pp. 17-35

Author(s):

Lars Wienbrandt ◽

Jan Christian Kässens ◽

David Ellinghaus

Keyword(s):

Gpu Acceleration ◽

Multiple Methods

Phenotype Prediction Under Epistasis

Methods in Molecular Biology - Epistasis ◽

10.1007/978-1-0716-0947-7_8 ◽

2021 ◽

pp. 105-120

Author(s):

Elaheh Vojgani ◽

Torsten Pook ◽

Henner Simianer

Keyword(s):

Phenotype Prediction

Using Collaborative Mixed Models to Account for Imputation Uncertainty in Transcriptome-Wide Association Studies

Methods in Molecular Biology - Epistasis ◽

10.1007/978-1-0716-0947-7_7 ◽

2021 ◽

pp. 93-103

Author(s):

Xingjie Shi ◽

Can Yang ◽

Jin Liu

Keyword(s):

Mixed Models ◽

Association Studies

Epistasis Detection Based on Epi-GTBN

Methods in Molecular Biology - Epistasis ◽

10.1007/978-1-0716-0947-7_20 ◽

2021 ◽

pp. 325-335

Author(s):

Xingjian Chen ◽

Ka-Chun Wong

First-Order Correction of Statistical Significance for Screening Two-Way Epistatic Interactions

Methods in Molecular Biology - Epistasis ◽

10.1007/978-1-0716-0947-7_12 ◽

2021 ◽

pp. 181-190

Author(s):

Lu Cheng ◽

Mu Zhu

Keyword(s):

Statistical Significance ◽

Order Correction ◽

Epistatic Interactions ◽

First Order ◽

First Order Correction

Protocol for Construction of Genome-Wide Epistatic SNP Networks Using WISH-R Package

Methods in Molecular Biology - Epistasis ◽

10.1007/978-1-0716-0947-7_10 ◽

2021 ◽

pp. 155-168

Author(s):

Haja N. Kadarmideen ◽

Victor Adriano Okstoft Carmelo

Keyword(s):

R Package ◽

Genome Wide

Brief Survey on Machine Learning in Epistasis

Methods in Molecular Biology - Epistasis ◽

10.1007/978-1-0716-0947-7_11 ◽

2021 ◽

pp. 169-179

Author(s):

Davide Chicco ◽

Trent Faultless

Keyword(s):

Machine Learning

A Belief Degree–Associated Fuzzy Multifactor Dimensionality Reduction Framework for Epistasis Detection

Methods in Molecular Biology - Epistasis ◽

10.1007/978-1-0716-0947-7_19 ◽

2021 ◽

pp. 307-323

Author(s):

Saifur Rahaman ◽

Ka-Chun Wong

Keyword(s):

Dimensionality Reduction ◽

Multifactor Dimensionality Reduction

Protocol for Epistasis Detection with Machine Learning Using GenEpi Package

Methods in Molecular Biology - Epistasis ◽

10.1007/978-1-0716-0947-7_18 ◽

2021 ◽

pp. 291-305

Author(s):

Olutomilayo Olayemi Petinrin ◽

Ka-Chun Wong

Keyword(s):

Machine Learning

W-Test for Genetic Epistasis Testing

Methods in Molecular Biology - Epistasis ◽

10.1007/978-1-0716-0947-7_4 ◽

2021 ◽

pp. 45-53

Author(s):

Rui Sun ◽

Haoyi Weng ◽

Maggie Haitian Wang

Keyword(s):

Genetic Epistasis