score_calc

list with D entries, each entry contains data d, p * n matrix.
This data should be centered and log-transformed.

pdat

List containig cluster assignments for each dimension
as entries.

clusters

list with D entries, each entry contains centers for data d,
p*k matrix.

lambda1

Penalty parameter for mean difference.

lambda2

nclust

Small term to ensure existance of solution, default is
0.0000001.

delta

Calculates the score for each combination of cluster assignments
and center values. This function runs inside <code>sparse_mdc</code>.

Implements the algorithm described in
Barron, M., and Li, J. (Not yet published). This algorithm clusters
samples from multiple ordered populations, links the clusters across the
conditions and identifies marker genes for these changes. The package was
designed for scRNA-Seq data but is also applicable to many other data
types, just replace cells with samples and genes with variables. The
package also contains functions for estimating the parameters for SparseMDC
as outlined in the paper. We recommend that users further select their
marker genes using the magnitude of the cluster centers.

score_calc: Score calculator

Description

Usage

Arguments

Value