coef_ols

If the design matrix has full column-rank, then use the normal
least squares estimate. Otherwise, use the Moore-Penrose inverse
to compute the least squares estimate.

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_ols 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></dl>

Arguments

Compute OLS coefficients — coef_ols

<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>

</dl>

coef_ols: Compute OLS coefficients

Description

Usage

Value

Arguments