scPOP: scPOP: Metrics for Benchmarking scRNA-Seq Batch Correction
In scPOP: Metrics for Benchmarking scRNA-Seq Batch Correction
Description
Evaluate using batch effect correction for scRNA-seq using multiple established methods, including the Adjusted Rand Index,
Normalized Mutual Information, Local Inverse Simpson Index, and Silhouette Width. We also included metrics for #' aggregating and weighing multiple metrics together.
scPOP documentation built on Aug. 4, 2021, 5:06 p.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
Evaluate using batch effect correction for scRNA-seq using multiple established methods, including the Adjusted Rand Index, Normalized Mutual Information, Local Inverse Simpson Index, and Silhouette Width. We also included metrics for #' aggregating and weighing multiple metrics together.
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.