Sinha, Debajyoti ; Sinha, Pradyumn ; Saha, Ritwik ; Bandyopadhyay, Sanghamitra ; Sengupta, Debarka (2019) Improved dropClust R package with integrative analysis support for scRNA-seq data Bioinformatics, 36 (6). pp. 1946-1947. ISSN 1367-4803
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Official URL: https://doi.org/10.1093/bioinformatics/btz823
Related URL: http://dx.doi.org/10.1093/bioinformatics/btz823
Abstract
Summary 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.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Oxford University Press. |
| ID Code: | 142525 |
| Deposited On: | 24 Jan 2026 11:24 |
| Last Modified: | 24 Jan 2026 11:24 |
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