Improved dropClust R package with integrative analysis support for scRNA-seq data
DropClust leverages Locality Sensitive Hashing (LSH) to speed up clustering of large scale single cell expression data. Here we present the improved dropClust, a complete R package that is, fast, interoperable and minimally resource intensive. The new dropClust features a novel batch effect removal algorithm that allows integrative analysis of single cell RNA-seq (scRNA-seq) datasets. Availability and implementation: dropClust is freely available at https://github.com/debsin/dropClust as an R package. A lightweight online version of the dropClust is available at https://debsinha.shinyapps.io/dropClust/.
Sinha, Debajyoti; Sinha, Pradyumn; Saha, Ritwik; Bandyopadhyay, Sanghamitra; and Sengupta, Debarka, "Improved dropClust R package with integrative analysis support for scRNA-seq data" (2020). ISI Best Publications. 59.