Author

Pradyumn Sinha

Delhi Technological University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Debajyoti Sinha· 1 shared Debarka SenguptaiD· 1 shared Ritwik Saha· 1 shared Sanghamitra BandyopadhyayiD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Debajyoti Sinha

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1 paper

Recent·Most cited

dropClust2: An R package for resource efficient analysis of large scale single cell RNA-Seq data

Debajyoti Sinha, Pradyumn Sinha, Ritwik Saha, Sanghamitra Bandyopadhyay, Debarka Sengupta

dropClust2 is an R package that improves the efficiency and resource usage of single cell RNA-seq clustering with a new batch effect removal algorithm.

bioRxiv · Apr 3, 2019 · PreprintBioinformatics