Debajyoti Sinha
Debajyoti Sinha
Indian Statistical Institute, Calcutta University
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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
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
A Scoring Scheme for Online Feature Selection: Simulating Model Performance Without Retraining
D Sengupta, S Bandyopadhyay, D Sinha
IEEE transactions on neural networks and learning systems 28 (2), 405-414, 2017
Event extraction from cancer genetics literature
D Sinha, U Garain, S Bandyopadhyay
2015 Eighth International Conference on Advances in Pattern Recognition …, 2015
ParSel: Parallel Selection of Micro-RNAs for Survival Classification in Cancers
D Sinha, D Sengupta, S Bandyopadhyay
Molecular Informatics, 2017
Improved dropClust R package with integrative analysis support for scRNA-seq data
D Sinha, P Sinha, R Saha, S Bandyopadhyay, D Sengupta
Bioinformatics 36 (6), 1946-1947, 2020
dropClust2: An R package for resource efficient analysis of large scale single cell RNA-Seq data
D Sinha, P Sinha, R Saha, S Bandyopadhyay, D Sengupta
bioRxiv, 596924, 2019
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