Author

Chitrita Goswami

Indraprastha Institute of Information Technology DelhiORCID 0000-0001-9849-1095Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Debarka SenguptaiD· 2 shared N BhattacharyaiD· 2 shared Anja RockstrohiD· 1 shared Antoine RoquillyiD· 1 shared Anunay Yadav· 1 shared Brett G. HollieriD· 1 shared Colleen C. NelsoniD· 1 shared Cynthia FourgeuxiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Debarka SenguptaORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 19, 2023

InGene: Finding influential genes from embeddings of nonlinear dimension reduction techniques

Chitrita Goswami, N Bhattacharya, Debarka Sengupta

InGene identifies influential genes in scRNA-seq data by assigning importance scores based on their contribution to nonlinear dimensionality reduction maps.

DOI 10.1101/2023.06.19.545592

scRNA-seqstatistical model

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BioinformaticsbioRxivPreprintDec 28, 2022

SCellBOW: AI-Driven Tumor Risk Stratification from Single-Cell Transcriptomics Using Phenotype Algebra

N Bhattacharya, Anja Rockstroh, Sanket Suhas Deshpande…·Debarka Sengupta

SCellBOW identifies and risk-stratifies tumor cell subpopulations using scRNA-seq data by simulating their impact on disease prognosis.

5 citations

humanscRNA-seq

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