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ttScreening (version 1.8)

Genome-Wide DNA Methylation Sites Screening by Use of Training and Testing Samples

Description

A screening process utilizing training and testing samples to filter out uninformative DNA methylation sites. Surrogate variables (SVs) of DNA methylation are included in the filtering process to explain unknown factor effects. This package also provides two screening functions for screening high-dimensional predictors when the events are rare. The firth method is called 'Rare-Screening' which employs a repeated random sampling with replacement and using linear modeling with Bayes adjustment. The Second method is called 'Firth-ttScreening' which uses 'ttScreening' method with additional Firth correction term in the maximum likelihood for the logistic regression model. These methods handle the high-dimensionality and low event rates.

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Version

Install

install.packages('ttScreening')

Monthly Downloads

190

Version

1.8

License

Artistic-2.0

Maintainer

Meredith Ray

Last Published

January 30th, 2026

Functions in ttScreening (1.8)

sva2

The adjusted sva code using irwsva.build2
irwsva.build2

Adjusted irwsva.build which builds surrogate variables from gene expression data
num.sv2

Adjusted num.sv which estimates the number of important surrogate variables from a gene expression data set.
Rare_Screening

Rare_Screening: resampling-based screening with limma
firth_screening

ttScreening with Firth bias-reduced logistic regression + multiple testing
ttScreening-package

Genome-Wide DNA Methylation Sites Screening by Use of Training and Testing Samples
ttScreening

A screening process built upon training and testing samples