matchpar

<p>is cells x genes matrix from an scRNAseq experiment. Could be non-UMI or UMI counts.</p>

datamat

<p>This function takes an scRNAseq counts matrix as an input (cells in rows x genes in cols) and outputs a matrix of cells x 3 covariates (number of genes detected, sequencing depth and mitochondrial gene expression). This covariate matrix can then be used to match cells and perform stratified permutation.</p>

We introduce a nonparametric, graphical test based on optimal matching for assessing whether multiple unknown multivariate probability distributions are equal. This method is consistent, and does not make any distributional assumptions on the data. Our procedure combines data that belong to different classes or groups to create a graph on the pooled data, and then utilizes the number of edges connecting data points from different classes to examine equality of distributions among the classes. The functions available through this package implement the work described here: <arXiv:1906.04776>.

Divyansh Agarwal

multicross

A Graph-Based Test for Comparing Multivariate Distributions in
the Multi Sample Framework

matchpar function

This function takes an scRNAseq counts matrix as an input (cells in rows x genes in cols) and outputs a matrix of cells x 3 covariates (number of genes detected, sequencing depth and mitochondrial gene expression). This covariate matrix can then be used to match cells and perform stratified permutation. — matchpar

This function takes an scRNAseq counts matrix as an input (cells in rows x genes in cols) and outputs a matrix of cells x 3 covariates (number of genes detected, sequencing depth and mitochondrial gene expression). This covariate matrix can then be used to match cells and perform stratified permutation.

Description

Usage

Arguments

Value