save_object

Save an R object to disk with fast and efficient compression algorithms.

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

save_object function

<dl><dt>object</dt>
<dd>Object to be saved to disk.</dd>
<dt>file_name</dt>
<dd>Name of the file where the R object is saved to.</dd>
<dt>file_format</dt>
<dd>One of "lz4", "gzip", "bzip2","xz", "nocomp".
<code>lz4</code> is the best option, fast compression and loading times, low space usage.
Format "lz4" is only available if package <code>archive</code> is installed.
Format "zstd" is not supported anymore as the library now needs to be precompiled with R.</dd></dl>

Arguments

Save an R object to disk with fast and efficient compression algorithms. — save_object

<dl>

<dt>object</dt>
<dd>Object to be saved to disk.</dd>


<dt>file_name</dt>
<dd>Name of the file where the R object is saved to.</dd>


<dt>file_format</dt>
<dd>One of "lz4", "gzip", "bzip2","xz", "nocomp".
<code>lz4</code> is the best option, fast compression and loading times, low space usage.
Format "lz4" is only available if package <code>archive</code> is installed.
Format "zstd" is not supported anymore as the library now needs to be precompiled with R.</dd>

</dl>

save_object: Save an R object to disk with fast and efficient compression algorithms.

Description

Usage

Value

Arguments