select_features

Feature selection function used in the diffmeans, sumvariance space

DNA methylation signatures are usually based on multivariate
approaches that require hundreds of sites for predictions. 'CimpleG'
is a method for the detection of small CpG methylation signatures used
for cell-type classification and deconvolution. 'CimpleG' is time
efficient and performs as well as top performing methods for cell-type
classification of blood cells and other somatic cells, while basing
its prediction on a single DNA methylation site per cell type (but
users can also select more sites if they so wish). Users can train
cell type classifiers ('CimpleG' based, and others) and directly apply
these in a deconvolution of cell mixes context. Altogether, 'CimpleG'
provides a complete computational framework for the delineation of
DNAm signatures and cellular deconvolution. For more details see Maié
et al. (2023) <doi:10.1186/s13059-023-03000-0>.

Tiago F.V. Maié

CimpleG

A Method to Identify Single CpG Sites for Classification and
Deconvolution

select_features function

<dl><dt>x, </dt>
<dd>difference in means value</dd>
<dt>y, </dt>
<dd>sum of variances value</dd>
<dt>a, </dt>
<dd>parabola parameter, scales how open/closed the parabola is, the higher the value, the more closed the parabola is.</dd></dl>

Arguments

Feature selection function used in the diffmeans, sumvariance space — select_features

<dl>

<dt>x, </dt>
<dd>difference in means value</dd>


<dt>y, </dt>
<dd>sum of variances value</dd>


<dt>a, </dt>
<dd>parabola parameter, scales how open/closed the parabola is, the higher the value, the more closed the parabola is.</dd>

</dl>

select_features: Feature selection function used in the diffmeans, sumvariance space

Description

Usage

Value

Arguments