train_data

datasets

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

train_data function

<p>A matrix with beta values for 1000 CpGs. Features/variables as columns and 409 samples as rows</p>

train_data: Cell line train data

Description

Usage

Arguments

Format