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episcan  

Scan Pairwise Epistasis
View on CRAN: Click here


Download and install episcan package within the R console
Install from CRAN:
install.packages("episcan")

Install from Github:
library("remotes")
install_github("cran/episcan")

Install by package version:
library("remotes")
install_version("episcan", "0.0.1")



Attach the package and use:
library("episcan")
Maintained by
Beibei Jiang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-09-14
Latest Update: 2018-09-14
Description:
Searching genomic interactions with linear/logistic regression in a high-dimensional dataset is a time-consuming task. This package provides some efficient ways to scan epistasis in genome-wide interaction studies (GWIS). Both case-control status (binary outcome) and quantitative phenotype (continuous outcome) are supported (the main references: 1. Kam-Thong, T., D. Czamara, K. Tsuda, K. Borgwardt, C. M. Lewis, A. Erhardt-Lehmann, B. Hemmer, et al. (2011). . 2. Kam-Thong, T., B. P
How to cite:
Beibei Jiang (2018). episcan: Scan Pairwise Epistasis. R package version 0.0.1, https://cran.r-project.org/web/packages/episcan
Previous versions and publish date:
No previous versions
Other packages that cited episcan R package
View episcan citation profile
Other R packages that episcan depends, imports, suggests or enhances
Functions, R codes and Examples using the episcan R package
Some associated functions: WriteSnpPairs . WriteSnpPairs_sym . ZtoP . checkchunksize . epiHSIC . epiHSIC1geno . epiHSIC2genos . epiblaster1geno . epiblaster2genos . episcan . getcor . ithChunk . 
Some associated R codes: EPIBLASTER.R . FUNCTIONS.R . epiHSIC.R . episcan.R .  Full episcan package functions and examples
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