Score Based Aggregation of microRNA Target Orderings. - Debarka Sengupta; Ujjwal Maulik; Sanghamitra Bandyopadhyay (ISBRA, 2012)

Weighted Markov Chain Based Aggregation of Biomolecule Orderings. - Debarka Sengupta; Ujjwal Maulik; Sanghamitra Bandyopadhyay (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

XRDS Mobilizes. - Debarka Sengupta (XRDS, 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)

A strong Nash stability based approach to minimum quasi clique partitioning. - Srinka Basu; Debarka Sengupta; Ujjwal Maulik; Sanghamitra Bandyopadhyay (COMSNETS, 2014)

FOCS: Fast Overlapped Community Search. - Sanghamitra Bandyopadhyay; Garisha Chowdhary; Debarka Sengupta (IEEE Trans. Knowl. Data Eng., 2015)

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)

Texture Classification Using Deep Convolutional Neural Network with Ensemble Learning. - Krishan Gupta; Tushar Jain; Debarka Sengupta (MIKE, 2018)

Structure-Aware Principal Component Analysis for Single-Cell RNA-seq Data. - Snehalika Lall; Debajyoti Sinha; Sanghamitra Bandyopadhyay; Debarka Sengupta (J. Comput. Biol., 2018)

CellAtlasSearch: a scalable search engine for single cells. - Divyanshu Srivastava; Arvind Iyer; Vibhor Kumar; Debarka Sengupta (Nucleic Acids Res., 2018)

Guided Random Forest and its application to data approximation. - Prashant Gupta; Aashi Jindal; Jayadeva; Debarka Sengupta (CoRR, 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)

Pathway Informatics. - Sarita Poonia; Smriti Chawla; Sandeep Kaushik; Debarka Sengupta (Encyclopedia of Bioinformatics and Computational Biology (2), 2019)

Cluster Aware Deep Dictionary Learning for Single Cell Analysis. - Priyadarshini Rai; Angshul Majumdar; Debarka Sengupta (ICONIP (5), 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)

deepMc: Deep Matrix Completion for Imputation of Single-Cell RNA-seq Data. - Aanchal Mongia; Debarka Sengupta; Angshul Majumdar (J. Comput. Biol., 2020)

Enhash: A Fast Streaming Algorithm For Concept Drift Detection. - Aashi Jindal; Prashant Gupta; Debarka Sengupta; Jayadeva (ESANN, 2021)

ComBI: Compressed Binary Search Tree for Approximate k-NN Searches in Hamming Space. - Prashant Gupta; Aashi Jindal; Jayadeva; Debarka Sengupta (Big Data Res., 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)

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)

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; et al. (Bioinform., 2021)

Linear time identification of local and global outliers. - Prashant Gupta; Aashi Jindal; Jayadeva; Debarka Sengupta (Neurocomputing, 2021)

Stable feature selection using copula based mutual information. - Snehalika Lall; Debajyoti Sinha; Abhik Ghosh; Debarka Sengupta; Sanghamitra Bandyopadhyay (Pattern Recognit., 2021)

Hide and Seek: Outwitting Community Detection Algorithms. - Shravika Mittal; Debarka Sengupta; Tanmoy Chakraborty 002 (IEEE Trans. Comput. Soc. Syst., 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)

deepGraphh: 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)

SelfE: Gene Selection via Self-Expression for Single-Cell Data. - Priyadarshini Rai; Debarka Sengupta; Angshul Majumdar (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

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; et al. (PLoS Comput. Biol., 2023)