Debarka Sengupta

发表

Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors

L. J. K. Wee, Paul J. Choi, P. Robson, 2017, Nature Genetics.

Integrative Analysis and Machine Learning based Characterization of Single Circulating Tumor Cells

Debarka Sengupta, Tuan Zea Tan, Arvind Iyer, 2019, bioRxiv.

Topological patterns in microRNA-gene regulatory network: studies in colorectal and breast cancer.

S. Bandyopadhyay, Debarka Sengupta, 2013, Molecular bioSystems.

UniPath: a uniform approach for pathway and gene-set based analysis of heterogeneity in single-cell epigenome and transcriptome profiles

W. Tam, Vibhor Kumar, Debarka Sengupta, 2019, bioRxiv.

dropClust: efficient clustering of ultra-large scRNA-seq data

Sanghamitra Bandyopadhyay, Debarka Sengupta, Debajyoti Sinha, 2017, bioRxiv.

Deep learning discerns cancer mutation exclusivity

Jayadeva, Debarka Sengupta, Prashant Gupta, 2020, bioRxiv.

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

Waldir Leoncio Netto, Ø. Sørensen, Debarka Sengupta, 2022, bioRxiv.

ROSeq: Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-Seq data

Ujjwal Maulik, Abhik Ghosh, Krishan Gupta, 2018 .

Challenges and possible solutions for decoding extranasal olfactory receptors

Debarka Sengupta, T. Mishra, Gaurav Ahuja, 2020, The FEBS journal.

Staging System to Predict the Risk of Relapse in Multiple Myeloma Patients Undergoing Autologous Stem Cell Transplantation

Debarka Sengupta, L. Kumar, Chitrita Goswami, 2019, Front. Oncol..

Recent smell loss is the best predictor of COVID-19: a preregistered, cross-sectional study

Jonas K. Olofsson, M. Bensafi, R. C. Gerkin, 2020, medRxiv.

Recent Smell Loss Is the Best Predictor of COVID-19 Among Individuals With Recent Respiratory Symptoms

Jonas K. Olofsson, Susan C. Roberts, M. Bensafi, 2020, Chemical senses.

Analysis of single-cell transcriptomes links enrichment of olfactory receptors with cancer cell differentiation status and prognosis

Debarka Sengupta, Krishan Gupta, T. Mishra, 2020, Communications biology.

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

S. Mohanty, Debarka Sengupta, Krishan Gupta, 2020, Briefings Bioinform..

Molecular signature comprising 11 platelet-genes enables accurate blood-based diagnosis of NSCLC

Debarka Sengupta, Ritu Gupta, Smriti Chawla, 2020, BMC Genomics.

Gene expression based inference of cancer drug sensitivity

A. Majumdar, Debarka Sengupta, C. Nelson, 2022, Nature Communications.

Searching match for single-cell open-chromatin profiles in large pools of single-cell transcriptomes and epigenomes for reference supported analysis

Vibhor Kumar, Debarka Sengupta, Shreya Mishra, 2022, bioRxiv.

Discovery of rare cells from voluminous single cell expression data

Jayadeva, Debarka Sengupta, Aashi Jindal, 2018, Nature Communications.

Erratum: Iyer, A., et al. Integrative Analysis and Machine Learning Based Characterization of Single Circulating Tumor Cells. J. Clin. Med. 2020, 9, 1206

Balaram Vishnu Subramani, J. Thiery, A. Bhagat, 2021, Journal of clinical medicine.

A new deep learning technique reveals the exclusive functional contributions of individual cancer mutations

Jayadeva, Debarka Sengupta, Prashant Gupta, 2022, The Journal of biological chemistry.

deepGraphh: AI-driven web service for graph-based quantitative structure-activity relationship analysis

Debarka Sengupta, Rahul Gupta, Gaurav Ahuja, 2022, Briefings Bioinform..

Microfluidic live tracking and transcriptomics of cancer-immune cell doublets link intercellular proximity and gene regulation

Kyle W. Hukari, S. Jeffrey, Brian Fowler, 2022, Communications Biology.

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

Sanghamitra Bandyopadhyay, Debarka Sengupta, Snehalika Lall, 2018, J. Comput. Biol..

FORKS: Finding Orderings Robustly using k-means and Steiner trees

Mayank Sharma, Jayadeva, Debarka Sengupta, 2017, bioRxiv.

Big data analytics in single‐cell transcriptomics: Five grand opportunities

Debarka Sengupta, C. Nelson, Gaurav Ahuja, 2021, WIREs Data Mining Knowl. Discov..

Hide and Seek: Outwitting Community Detection Algorithms

Debarka Sengupta, Shravika Mittal, Tanmoy Chakraborty, 2021, IEEE Transactions on Computational Social Systems.

FOCS: Fast Overlapped Community Search

Sanghamitra Bandyopadhyay, Debarka Sengupta, Garisha Chowdhary, 2015, IEEE Transactions on Knowledge and Data Engineering.

A strong Nash stability based approach to minimum quasi clique partitioning

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Srinka Basu, 2014, 2014 Sixth International Conference on Communication Systems and Networks (COMSNETS).

Tumor-derived circulating endothelial cell clusters in colorectal cancer

P. Robson, B. Lim, S. Prabhakar, 2016, Science Translational Medicine.

Marker-free characterization of single live circulating tumor cell full-length transcriptomes

A. Majumdar, A. Bhagat, N. Ramalingam, 2021, bioRxiv.

dropClust2: An R package for resource efficient analysis of large scale single cell RNA-Seq data

Sanghamitra Bandyopadhyay, Debarka Sengupta, Debajyoti Sinha, 2019, bioRxiv.

CellAtlasSearch: a scalable search engine for single cells

Vibhor Kumar, Arvind Iyer, Debarka Sengupta, 2018, Nucleic Acids Res..

AutoImpute: Autoencoder based imputation of single-cell RNA-seq data

A. Majumdar, Debarka Sengupta, Aanchal Mongia, 2018, Scientific Reports.

Fast, scalable and accurate differential expression analysis for single cells

Debarka Sengupta, Nirmala Arul Rayan, Shyam Prabhakar, 2016, bioRxiv.

OdoriFy: A conglomerate of artificial intelligence–driven prediction engines for olfactory decoding

Harshit Singh Chhabra, Debarka Sengupta, Krishan Gupta, 2021, The Journal of biological chemistry.

Participation of microRNAs in human interactome: extraction of microRNA-microRNA regulations.

Sanghamitra Bandyopadhyay, Debarka Sengupta, S. Bandyopadhyay, 2011, Molecular bioSystems.

Discovery of rare cells from voluminous single cell expression data

Jayadeva, Debarka Sengupta, Prashant Gupta, 2018, Nature Communications.

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

Debarka Sengupta, Sanghamitra Bandyopadhyay, Debajyoti Sinha, 2019, Bioinform..

Latent representation of single-cell transcriptomes enables algebraic operations on cellular phenotypes

Debarka Sengupta, C. Nelson, J. Poschmann, 2022 .

Microfluidic system-based time-course tracking of physical proximity between cells and its effect on gene expression for elucidating live single cancer-immune cell interactions

Kyle W. Hukari, S. Jeffrey, N. Ramalingam, 2021, bioRxiv.

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

S. Mohanty, Debarka Sengupta, Krishan Gupta, 2021, Briefings Bioinform..

ParSel: Parallel Selection of Micro‐RNAs for Survival Classification in Cancers

Sanghamitra Bandyopadhyay, Debarka Sengupta, Debajyoti Sinha, 2017, Molecular informatics.

GRF: A Greedy Rank Fusion Algorithm for Combining MicroRNA Target Orderings

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Debarka Sengupta, 2013, Molecular informatics.

Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors

L. J. K. Wee, Paul J. Choi, P. Robson, 2017, Nature Genetics.

A search-engine for single-cell epigenome profiles for multi-purpose applications

Vibhor Kumar, Debarka Sengupta, Shreya Mishra, 2022 .

Artificial Intelligence uncovers carcinogenic human metabolites

Nilesh Kumar Dixit, Debarka Sengupta, Sakshi Arora, 2021, bioRxiv.

Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018

Aditya Prasad Dash, Myron Anthony Godinho, Seyyed Nasrollah Hosseini, 2021, Nature Medicine.

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

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Debarka Sengupta, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Weighted Markov Chain Based Aggregation of Biomolecule Orderings

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Debarka Sengupta, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Gene expression based inference of drug resistance in cancer

Jayadeva, A. Majumdar, Debarka Sengupta, 2021, bioRxiv.

Author Correction: Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors

L. J. K. Wee, Paul J. Choi, P. Robson, 2018, Nature Genetics.

Simultaneous visualization of cells and marker genes from scRNA-seq studies

Tanmoy Chakraborty, Debarka Sengupta, Krishan Gupta, 2022, bioRxiv.

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

Krishan Gupta, Gaurav Ahuja, Debarka Sengupta, 2021, Bioinform..

McImpute: Matrix Completion Based Imputation for Single Cell RNA-seq Data

Angshul Majumdar, Debarka Sengupta, Aanchal Mongia, 2018, bioRxiv.

Pathway Informatics

Debarka Sengupta, Sarita Poonia, Smriti Chawla, 2019, Encyclopedia of Bioinformatics and Computational Biology.

Entropy steered Kendall's tau measure for a fair Rank Aggregation

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Debarka Sengupta, 2011, 2011 2nd National Conference on Emerging Trends and Applications in Computer Science.

A novel measure for evaluating an ordered list: application in microRNA target prediction

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Debarka Sengupta, 2010 .

Mapping inequalities in exclusive breastfeeding in low- and middle-income countries, 2000–2018

Vijay Kumar Chattu, Seyyed Meysam Mousavi, Ali Kazemi Karyani, 2021, Nature Human Behaviour.

Quantification of age-related decline in transcriptional homeostasis.

Debarka Sengupta, Krishan Gupta, Gaurav Ahuja, 2021, Journal of molecular biology.

Correlation of VLF-EM Data with Radiometric Measurements: Implications for Uranium Exploration around Beldih, South Purulia Shear Zone, India

Debarka Sengupta, A. Biswas, S. Sharma, 2014 .

Marker-free characterization of full-length transcriptomes of single live circulating tumor cells

A. Majumdar, A. Bhagat, N. Ramalingam, 2022, Genome research.

Ultrasound placental image texture analysis using artificial intelligence to predict hypertension in pregnancy

Debarka Sengupta, M. Puri, Krishan Gupta, 2021, The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians.

Pseudo-grading of tumor subclones using phenotype algebra

Debarka Sengupta, C. Nelson, J. Poschmann, 2023, bioRxiv.

Cluster Aware Deep Dictionary Learning for Single Cell Analysis

Angshul Majumdar, Debarka Sengupta, Priyadarshini Rai, 2020, ICONIP.

Author Correction: Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors

L. J. K. Wee, P. Robson, S. Prabhakar, 2018, Nature Genetics.

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

Debarka Sengupta, Chitrita Goswami, Namrata Bhattacharya, 2024, bioRxiv.

Enhash: A Fast Streaming Algorithm For Concept Drift Detection pdf

Jayadeva, Prashant Gupta, Aashi Jindal, 2020, ESANN.

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

Angshul Majumdar, Debarka Sengupta, Aanchal Mongia, 2020, Journal of computational biology : a journal of computational molecular cell biology.

Recent smell loss is the best predictor of COVID-19: a preregistered, cross-sectional study

Jonas K. Olofsson, M. Bensafi, R. C. Gerkin, 2020, medRxiv.

Stable feature selection using copula based mutual information

Abhik Ghosh, Sanghamitra Bandyopadhyay, Snehalika Lall, 2020, Pattern Recognit..

Texture Classification Using Deep Convolutional Neural Network with Ensemble Learning

Tushar Jain, Debarka Sengupta, Krishan Gupta, 2018, MIKE.

A visual atlas of genes’ tissue-specific pathological roles

Abhijith S. Raj, A. Majumdar, Tanmoy Chakraborty, 2022, bioRxiv.

Matching queried single-cell open-chromatin profiles to large pools of single-cell transcriptomes and epigenomes for reference supported analysis

Vibhor Kumar, Debarka Sengupta, Shreya Mishra, 2023, Genome research.

Artificial Intelligence uncovers Evolutionarily Conserved Intracellular Allosteric Modulators of GPCR-Gα interface

Nilesh Kumar Dixit, Debarka Sengupta, T. Ghosh, 2023, bioRxiv.

deepMc: deep Matrix Completion for imputation of single cell RNA-seq data

Angshul Majumdar, Debarka Sengupta, Aanchal Mongia, 2018, bioRxiv.

Perceiving placental ultrasound image texture evolution during pregnancy with normal and adverse outcome through machine learning prism.

Debarka Sengupta, Urvashi Arora, Manisha Kumar, 2023, Placenta.

Gcoupler: An AI-enhanced tool unveiled Endogenous Intracellular Allosteric Modulators of Evolutionary Conserved GPCR-Gα Interface

Nilesh Kumar Dixit, Debarka Sengupta, T. Ghosh, 2023, bioRxiv.

Machine learning based prediction of antibiotic sensitivity in patients with critical illness

Debarka Sengupta, D. Ghosh, M. Kapoor, 2019 .

Non-canonical NF-κB signaling promotes intestinal inflammation by restraining the tolerogenic β-catenin-Raldh2 axis in dendritic cells

Debarka Sengupta, Meenakshi Chawla, Alvina Deka, 2023, bioRxiv.

The best COVID-19 predictor is recent smell loss: a cross-sectional study

Jonas K. Olofsson, M. Bensafi, R. C. Gerkin, 2020 .

AutoImpute: Autoencoder based imputation of single-cell RNA-seq data

Angshul Majumdar, Debarka Sengupta, Aanchal Mongia, 2018, Scientific Reports.

Pseudo-grading of tumor subpopulations from single-cell transcriptomic data using Phenotype Algebra

Debarka Sengupta, C. Nelson, J. Poschmann, 2024, bioRxiv.

Guided Random Forest and its application to data approximation pdf

Jayadeva, Prashant Gupta, Aashi Jindal, 2019, ArXiv.

Literature mining discerns latent disease–gene relationships

Abhijith S. Raj, A. Majumdar, Debarka Sengupta, 2024, Bioinformatics.

Non-canonical NF-κB signaling limits the tolerogenic β-catenin-Raldh2 axis in gut dendritic cells to exacerbate intestinal pathologies

Debarka Sengupta, Meenakshi Chawla, Alvina Deka, 2024, The EMBO journal.

Improved Python Package for DNA Sequence Encoding using Frequency Chaos Game Representation

Debarka Sengupta, Abhishek Halder, Piyush, 2024, bioRxiv.

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

Debarka Sengupta, Angshul Majumdar, Priyadarshini Rai, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Feature selection using feature dissimilarity measure and density-based clustering: Application to biological data

Sanghamitra Bandyopadhyay, Debarka Sengupta, Indranil Aich, 2015, Journal of Biosciences.