Debarka Sengupta

According to our database, Debarka Sengupta authored at least 28 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A combined experimental-computational approach uncovers a role for the Golgi matrix protein Giantin in breast cancer progression.

Salim Ghannoum, Damiano Fantini, Muhammad Zahoor, Veronika Reiterer, Santosh Phuyal, Waldir Leoncio Netto, Øystein Sørensen, Arvind Iyer, Debarka Sengupta, Lina Prasmickaite, Gunhild Mari Mælandsmo, Alvaro Köhn-Luque, Hesso Farhan

PLoS Comput. Biol., 2023

2022

SelfE: Gene Selection via Self-Expression for Single-Cell Data.

Priyadarshini Rai, Debarka Sengupta, Angshul Majumdar

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

<i>deepGraphh</i>: AI-driven web service for graph-based quantitative structure-activity relationship analysis.

Vishakha Gautam, Rahul Gupta, Deepti Gupta, Anubhav Ruhela, Aayushi Mittal, Sanjay Kumar Mohanty, Sakshi Arora, Ria Gupta, Chandan Saini, Debarka Sengupta, Natarajan Arul Murugan, Gaurav Ahuja

Briefings Bioinform., 2022

2021

Big data analytics in single-cell transcriptomics: Five grand opportunities.

Namrata Bhattacharya, Colleen C. Nelson, Gaurav Ahuja, Debarka Sengupta

WIREs Data Mining Knowl. Discov., 2021

Hide and Seek: Outwitting Community Detection Algorithms.

Shravika Mittal, Debarka Sengupta, Tanmoy Chakraborty

IEEE Trans. Comput. Soc. Syst., 2021

Stable feature selection using copula based mutual information.

Snehalika Lall, Debajyoti Sinha, Abhik Ghosh, Debarka Sengupta, Sanghamitra Bandyopadhyay

Pattern Recognit., 2021

Linear time identification of local and global outliers.

Prashant Gupta, Aashi Jindal, Jayadeva, Debarka Sengupta

Neurocomputing, 2021

Machine-OlF-Action: a unified framework for developing and interpreting machine-learning models for chemosensory research.

Anku Gupta, Mohit Choudhary, Sanjay Kumar Mohanty, Aayushi Mittal, Krishan Gupta, Aditya Arya, Suvendu Kumar, Nikhil Katyayan, Nilesh Kumar Dixit, Siddhant Kalra, Manshi Goel, Megha Sahni, Vrinda Singhal, Tripti Mishra, Debarka Sengupta, Gaurav Ahuja

Bioinform., 2021

The Cellular basis of loss of smell in 2019-nCoV-infected individuals.

Krishan Gupta, Sanjay Kumar Mohanty, Aayushi Mittal, Siddhant Kalra, Suvendu Kumar, Tripti Mishra, Jatin Ahuja, Debarka Sengupta, Gaurav Ahuja

Briefings Bioinform., 2021

EcTracker: Tracking and elucidating ectopic expression leveraging large-scale scRNA-seq studies.

Vishakha Gautam, Aayushi Mittal, Siddhant Kalra, Sanjay Kumar Mohanty, Krishan Gupta, Komal Rani, Srivatsava Naidu, Tripti Mishra, Debarka Sengupta, Gaurav Ahuja

Briefings Bioinform., 2021

ComBI: Compressed Binary Search Tree for Approximate <i>k</i>-NN Searches in Hamming Space.

Prashant Gupta, Aashi Jindal, Jayadeva, Debarka Sengupta

Big Data Res., 2021

Enhash: A Fast Streaming Algorithm For Concept Drift Detection.

Aashi Jindal, Prashant Gupta, Debarka Sengupta, Jayadeva

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

deepMc: Deep Matrix Completion for Imputation of Single-Cell RNA-seq Data.

Aanchal Mongia, Debarka Sengupta, Angshul Majumdar

J. Comput. Biol., 2020

Improved dropClust R package with integrative analysis support for scRNA-seq data.

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

Bioinform., 2020

Cluster Aware Deep Dictionary Learning for Single Cell Analysis.

Priyadarshini Rai, Angshul Majumdar, Debarka Sengupta

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Pathway Informatics.

Sarita Poonia, Smriti Chawla, Sandeep Kaushik, Debarka Sengupta

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019

MenstruLoss: Sensor For Menstrual Blood Loss Monitoring.

Manideepa Mukherjee, Sana Ali Naqvi, Anushika Verma, Debarka Sengupta, Aman Parnami

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Guided Random Forest and its application to data approximation.

Prashant Gupta, Aashi Jindal, Jayadeva, Debarka Sengupta

CoRR, 2019

2018

CellAtlasSearch: a scalable search engine for single cells.

Divyanshu Srivastava, Arvind Iyer, Vibhor Kumar, Debarka Sengupta

Nucleic Acids Res., 2018

Structure-Aware Principal Component Analysis for Single-Cell RNA-seq Data.

Snehalika Lall, Debajyoti Sinha, Sanghamitra Bandyopadhyay, Debarka Sengupta

J. Comput. Biol., 2018

Texture Classification Using Deep Convolutional Neural Network with Ensemble Learning.

Krishan Gupta, Tushar Jain, Debarka Sengupta

Proceedings of the Mining Intelligence and Knowledge Exploration, 2018

2017

A Scoring Scheme for Online Feature Selection: Simulating Model Performance Without Retraining.

Debarka Sengupta, Sanghamitra Bandyopadhyay, Debajyoti Sinha

IEEE Trans. Neural Networks Learn. Syst., 2017

2015

FOCS: Fast Overlapped Community Search.

Sanghamitra Bandyopadhyay, Garisha Chowdhary, Debarka Sengupta

IEEE Trans. Knowl. Data Eng., 2015

2014

A strong Nash stability based approach to minimum quasi clique partitioning.

Srinka Basu, Debarka Sengupta, Ujjwal Maulik, Sanghamitra Bandyopadhyay

Proceedings of the Sixth International Conference on Communication Systems and Networks, 2014

2013

Reformulated Kemeny Optimal Aggregation with Application in Consensus Ranking of microRNA Targets.

Debarka Sengupta, Aroonalok Pyne, Ujjwal Maulik, Sanghamitra Bandyopadhyay

IEEE ACM Trans. Comput. Biol. Bioinform., 2013

<i>XRDS</i> Mobilizes.

Debarka Sengupta

XRDS, 2013

2012

Weighted Markov Chain Based Aggregation of Biomolecule Orderings.

Debarka Sengupta, Ujjwal Maulik, Sanghamitra Bandyopadhyay

IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Score Based Aggregation of microRNA Target Orderings.

Debarka Sengupta, Ujjwal Maulik, Sanghamitra Bandyopadhyay

Proceedings of the Bioinformatics Research and Applications - 8th International Symposium, 2012