Author

Debajyoti Sinha

University of Calcutta

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· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 3 Assay:scRNA-seq· 3 Approach:statistical model· 3 Research Focus:benchmarking· 1 Research Focus:dimensionality reduction· 1 Approach:graph neural network· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Debarka SenguptaiD· 3 shared Sanghamitra BandyopadhyayiD· 2 shared Aayushi MittaliD· 1 shared Akhilesh KumariD· 1 shared Colleen C. NelsoniD· 1 shared Gaurav AhujaiD· 1 shared Himanshu KumariD· 1 shared Krishan GuptaiD· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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3 shared papersBioinformatics

Debarka SenguptaORCID

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3 papers

Recent·Most cited

Simultaneous visualization of cells and marker genes from scRNA-seq studies

N Bhattacharya, Swagatam Chakraborti, Krishan Gupta, Aayushi Mittal, Debajyoti Sinha, Colleen C. Nelson, Tanmoy Chakraborty, Gaurav Ahuja, Debarka Sengupta

Stardust is a visualization method that embeds cells and marker genes together on a 2D map, performing competitively with existing tools on scRNA-seq and spatial transcriptomics data.

bioRxiv · Dec 27, 2022 · PreprintBioinformatics

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

dropClust: Efficient clustering of ultra-large scRNA-seq data

Debajyoti Sinha, Akhilesh Kumar, Himanshu Kumar, Sanghamitra Bandyopadhyay, Debarka Sengupta

dropClust efficiently clusters ultra-large scRNA-seq data using Locality Sensitive Hashing, outperforming existing methods in speed and accuracy.

Nucleic Acids Research · Jan 7, 2018Peer-reviewedGenomics