SVDwithMissing

<p>Compute singular value decomposition on a matrix with missing values, using a naive/simple method for imputing missing values by row-mean</p>


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.

E. Houseman

SVDwithMissing: SVD with missing values

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