coef_ridge

Compute ridge regression coefficients

internal

Implementation of the scregclust algorithm
described in Larsson, Held, et al. (2024) <doi:10.1038/s41467-024-53954-3>
which reconstructs regulatory programs of target genes in scRNA-seq data.
Target genes are clustered into modules and each module is associated with a linear
model describing the regulatory program.

Felix Held

scregclust

Reconstructing the Regulatory Programs of Target Genes in
scRNA-Seq Data

Ida Larsson

Sven Nelander

André Armatowski

coef_ridge function

<dl><dt>y</dt>
<dd>Target vector (n x 1)/matrix (n x m)</dd>
<dt>x</dt>
<dd>Design matrix (n x p)</dd>
<dt>lambda</dt>
<dd>Positive parameter for ridge penalty</dd></dl>

Arguments

Compute ridge regression coefficients — coef_ridge

<dl>

<dt>y</dt>
<dd>Target vector (n x 1)/matrix (n x m)</dd>


<dt>x</dt>
<dd>Design matrix (n x p)</dd>


<dt>lambda</dt>
<dd>Positive parameter for ridge penalty</dd>

</dl>

coef_ridge: Compute ridge regression coefficients

Description

Usage

Value

Arguments