Reference-free method for conducting EWAS while deconvoluting DNA methylation
arising as mixtures of cell types.  The older method
(Houseman et al., 2014,<doi:10.1093/bioinformatics/btu029>) is similar to
surrogate variable analysis (SVA and ISVA), except that it makes additional use
of a biological mixture assumption.
The newer method (Houseman et al., 2016, <doi:10.1186/s12859-016-1140-4>) is similar
to non-negative matrix factorization, with additional constraints
and additional utilities.

EWAS using Reference-Free DNA Methylation Mixture Deconvolution

package-ubuntu-20.04-r-4.0.5#cran#RefFreeEWAS-2.2

<p>Simple method for imputing missing values by row-mean</p>

<table summary="R argblock"><tr valign="top">
<td><code>Y</code></td>
<td>
<p>Matrix to impute.</p>
</td>
</tr></table>

<p>Matrix with missing values replaced by imputed values</p>

package-ubuntu-20.04-r-4.0.5#cran#RefFreeEWAS-2.2#docs#ImputeByMean

ImputeByMean

Description

Usage

Arguments

Value

RefFreeEWAS

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