Debarka Sengupta

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Citations	2097	1972
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i10-index	31	29

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Sanghamitra BandyopadhyayProfessor of Computer Science, Indian Statistical Institute, Kolkata, IndiaVerified email at isical.ac.in
Gaurav AhujaAssociate Professor, IIIT-Delhi Verified email at iiitd.ac.in
Krishan GuptaHarvard UniversityVerified email at childrens.harvard.edu
Angshul MajumdarProfessor, Indraprastha Institute of Information TechnologyVerified email at iiitd.ac.in
shyam prabhakarGenome Institute of SingaporeVerified email at gis.a-star.edu.sg
Say Li KongGenome Institute of SingaporeVerified email at gis.a-star.edu.sg
Ujjwal MaulikProfessor of Computer Science and Engineering, Jadavpur UniversityVerified email at cse.jdvu.ac.in
Smriti ChawlaPostdoctoral Research Fellow, CCB, HMSVerified email at iiitd.ac.in
Min-Han TanLucence HealthVerified email at lucence.com
Aashi JindalResearch Scholar, Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, IndiaVerified email at ee.iitd.ac.in
Prashant GuptaResearch Scholar, Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, IndiaVerified email at ee.iitd.ac.in
Naveen Ramalingam, PhDSenior Director, Single Cell Genomics R&D, Fluidigm CorporationVerified email at fluidigm.com
Sarita PooniaResearch Scholar@IIITDVerified email at iiitd.ac.in
Jay AA West, PhDBioskrybVerified email at bioskryb.com
Arvind IyerDepartment of Computational Biology, University of LausanneVerified email at unil.ch
naidu srivatsavaIndian Institute of Technology RoparVerified email at dundee.ac.uk
Abhik GhoshAssociate Professor, Indian Statistical Institute, Kolkata, IndiaVerified email at isical.ac.in

Debarka Sengupta

Assoc. Prof., IIIT-Delhi & (Adj.) Assoc. Prof., QUT, Brisbane

Verified email at iiitd.ac.in - Homepage

cancer genomics single cell transcriptomics artificial intelligence


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Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors H Li, ET Courtois, D Sengupta, Y Tan, KH Chen, JJL Goh, SL Kong, ... Nature genetics 49 (5), 708-718, 2017	792	2017
AutoImpute: Autoencoder based imputation of single-cell RNA-seq data D Talwar, A Mongia, D Sengupta, A Majumdar Scientific reports 8 (1), 1-11, 2018	125	2018
Recent smell loss is the best predictor of COVID-19 among individuals with recent respiratory symptoms RC Gerkin, K Ohla, MG Veldhuizen, PV Joseph, CE Kelly, AJ Bakke, ... Chemical senses 46, 2021	124	2021
Tumor-derived circulating endothelial cell clusters in colorectal cancer I Cima, SL Kong, D Sengupta, IB Tan, WM Phyo, D Lee, M Hu, C Iliescu, ... Science translational medicine 8 (345), 345ra89-345ra89, 2016	106	2016
dropClust: efficient clustering of ultra-large scRNA-seq data D Sinha, A Kumar, H Kumar, S Bandyopadhyay, D Sengupta Nucleic acids research 46 (6), e36-e36, 2018	94	2018
Discovery of rare cells from voluminous single cell expression data A Jindal, P Gupta, Jayadeva, D Sengupta Nature communications 9 (1), 4719, 2018	70	2018
McImpute: matrix completion based imputation for single cell RNA-seq data A Mongia, D Sengupta, A Majumdar Frontiers in genetics 10, 9, 2019	65	2019
Anemia prevalence in women of reproductive age in low-and middle-income countries between 2000 and 2018 D Kinyoki, AE Osgood-Zimmerman, NV Bhattacharjee, NJ Kassebaum, ... Nature medicine 27 (10), 1761-1782, 2021	45	2021
The cellular basis of loss of smell in 2019-nCoV-infected individuals K Gupta, SK Mohanty, A Mittal, S Kalra, S Kumar, T Mishra, J Ahuja, ... Briefings in bioinformatics 22 (2), 873-881, 2021	44	2021
FOCS: Fast overlapped community search S Bandyopadhyay, G Chowdhary, D Sengupta IEEE Transactions on Knowledge and Data Engineering 27 (11), 2974-2985, 2015	42	2015
CellAtlasSearch: a scalable search engine for single cells D Srivastava, A Iyer, V Kumar, D Sengupta Nucleic acids research 46 (W1), W141-W147, 2018	39	2018
Topological patterns in microRNA–gene regulatory network: studies in colorectal and breast cancer D Sengupta, S Bandyopadhyay Molecular bioSystems 9 (6), 1360-1371, 2013	39	2013
Fast, scalable and accurate differential expression analysis for single cells D Sengupta, NA Rayan, M Lim, B Lim, S Prabhakar BioRxiv, 049734, 2016	38	2016
Structure-aware principal component analysis for single-cell RNA-seq data S Lall, D Sinha, S Bandyopadhyay, D Sengupta Journal of Computational Biology 25 (12), 1365-1373, 2018	37	2018
Integrative analysis and machine learning based characterization of single circulating tumor cells A Iyer, K Gupta, S Sharma, K Hari, YF Lee, N Ramalingam, YS Yap, ... Journal of clinical medicine 9 (4), 1206, 2020	28	2020
The best COVID-19 predictor is recent smell loss: a cross-sectional study RC Gerkin, K Ohla, MG Veldhuizen, PV Joseph, CE Kelly, AJ Bakke, ... MedRxiv, 2020	26	2020
Stable feature selection using copula based mutual information S Lall, D Sinha, A Ghosh, D Sengupta, S Bandyopadhyay Pattern Recognition 112, 107697, 2021	25	2021
Mapping inequalities in exclusive breastfeeding in low-and middle-income countries, 2000–2018 NV Bhattacharjee, LE Schaeffer, SI Hay Nature Human Behaviour 5 (8), 1027-1045, 2021	24	2021
Participation of microRNAs in human interactome: extraction of microRNA–microRNA regulations D Sengupta, S Bandyopadhyay Molecular Biosystems 7 (6), 1966-1973, 2011	24	2011
deepmc: Deep matrix completion for imputation of single-cell rna-seq data A Mongia, D Sengupta, A Majumdar Journal of Computational Biology 27 (7), 1011-1019, 2020	20	2020

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