sample_data

A dataset containing a count matrix, subject IDs, a data frame of predictors and scaling factors.

datasets

A fast negative binomial mixed model for conducting association analysis of multi-subject single-cell data. It can be used for identifying marker genes, differential expression and co-expression analyses. The model includes subject-level random effects to account for the hierarchical structure in multi-subject single-cell data. See He et al. (2021) <doi:10.1038/s42003-021-02146-6>.

Liang He

nebula

Negative Binomial Mixed Models Using Large-Sample Approximation
for Differential Expression Analysis of ScRNA-Seq Data

Raghav Sharma

sample_data function

A list of four objects:<dl>
 <dt>count</dt>
<dd>A raw count matrix</dd> <dt>sid</dt>
<dd>A vector of subject IDs</dd> <dt>pred</dt>
<dd>A data frame of three predictors</dd> <dt>offset</dt>
<dd>A vector of scaling factors</dd>
</dl>

Format

An example data set for testing nebula — sample_data

A list of four objects:<dl>
 <dt>count</dt>
<dd>A raw count matrix</dd>

 <dt>sid</dt>
<dd>A vector of subject IDs</dd>

 <dt>pred</dt>
<dd>A data frame of three predictors</dd>

 <dt>offset</dt>
<dd>A vector of scaling factors</dd>


</dl>

sample_data: An example data set for testing nebula

Description

Usage

Arguments

Format