getConsMtx: This function calculates an average consensus matrix from a...

In khazum/ccImpute: ccImpute: an accurate and scalable consensus clustering based approach to impute dropout events in the single-cell RNA-seq data (https://doi.org/10.1186/s12859-022-04814-8)

This function calculates an average consensus matrix from a set of clustering solutions. It filters out values below a specified minimum threshold ('consMin') and normalizes the remaining non-zero columns to sum to 1.

Description

This function calculates an average consensus matrix from a set of clustering solutions. It filters out values below a specified minimum threshold ('consMin') and normalizes the remaining non-zero columns to sum to 1.

Usage

getConsMtx(dat, consMin, n_cores)

Arguments

dat	An integer matrix where each column represents a different clustering solution (cluster assignments for each data point).
consMin	The minimum consensus value to retain. Values below this threshold are set to zero.
n_cores	The number of cores to use for parallel processing. This can speed up the normalization step.

Value

A processed consensus matrix where each element (i, j) represents the proportion of times data points i and j were assigned to the same cluster with filtering and normalization applied.

khazum/ccImpute documentation built on July 26, 2024, 1:13 a.m.