uq_scale: Upper Quartile Normalization
In ssarda/genomeutils: Utilities for Genome Analysis
Description
Usage
Arguments
Value
Description
Each column is divided by the 75
The calculated quantile is then scaled by the median across cells to keep the absolute level of expression relatively consistent.
Spike-ins should be excluded from the calculation of total expression in order to correct for total cell RNA content, therefore they should be specified to exclude them from downstream analysis
Usage
1
Arguments
expr_mat
Input matrix with expression values for genes in the form (Genes x Samples)
spikes
A vector of genes that were spike-ins in the original experiment
Value
A matrix with columns upper quartile normalized.
ssarda/genomeutils documentation built on May 30, 2019, 8:42 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value
Description
Each column is divided by the 75 The calculated quantile is then scaled by the median across cells to keep the absolute level of expression relatively consistent. Spike-ins should be excluded from the calculation of total expression in order to correct for total cell RNA content, therefore they should be specified to exclude them from downstream analysis
Usage
1 |
Arguments
expr_mat |
Input matrix with expression values for genes in the form (Genes x Samples) |
spikes |
A vector of genes that were spike-ins in the original experiment |
Value
A matrix with columns upper quartile normalized.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.