Rajat K. De

According to our database, Rajat K. De authored at least 74 papers between 1996 and 2025.

Collaborative distances:

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

2025

Efficient parameter estimation in biochemical pathways: Overcoming data limitations with constrained regularization and fuzzy inference.

Abhisek Bakshi, Souvik Sengupta, Rajat K. De, Abhijit Dasgupta

Expert Syst. Appl., 2025

2024

DN3MF: deep neural network for non-negative matrix factorization towards low rank approximation.

Prasun Dutta, Rajat K. De

Pattern Anal. Appl., December, 2024

A novel method addressing NGS-based mappability bias for sensitive detection of DNA alterations.

Rituparna Sinha, Rajat Kumar Pal, Rajat Kumar De

J. Bioinform. Comput. Biol., June, 2024

NeuroDAVIS: A neural network model for data visualization.

Chayan Maitra, Dibyendu Bikash Seal, Rajat K. De

Neurocomputing, March, 2024

ENLIGHTENMENT: A Scalable Annotated Database of Genomics and NGS-Based Nucleotide Level Profiles.

Rituparna Sinha, Rajat Kumar Pal, Rajat K. De

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

TiMePReSt: Time and Memory Efficient Pipeline Parallel DNN Training with Removed Staleness.

Ankita Dutta, Nabendu Chaki, Rajat K. De

CoRR, 2024

G-NeuroDAVIS: A Neural Network model for generalized embedding, data visualization and sample generation.

Chayan Maitra, Rajat K. De

CoRR, 2024

Bayes-Nash Generative Privacy Protection Against Membership Inference Attacks.

Tao Zhang, Rajagopal Venkatesaramani, Rajat K. De, Bradley A. Malin, Yevgeniy Vorobeychik

CoRR, 2024

A Game-Theoretic Approach to Privacy-Utility Tradeoff in Sharing Genomic Summary Statistics.

Tao Zhang, Rajagopal Venkatesaramani, Rajat K. De, Bradley A. Malin, Yevgeniy Vorobeychik

CoRR, 2024

Input Guided Multiple Deconstruction Single Reconstruction neural network models for Matrix Factorization.

Prasun Dutta, Rajat K. De

CoRR, 2024

NeuroDAVIS-FS: Feature Selection Through Visualization Using NeuroDAVIS.

Chayan Maitra, Anwesha Sengupta, Rajat K. De

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

A Novel CRISPR-MultiTargeter Multi-agent Reinforcement learning (CMT-MARL) algorithm to identify editable target regions using a Hybrid scoring from multiple similar sequences.

Susobhan Baidya, Sankhayan Choudhury, Rajat Kumar De

Appl. Intell., April, 2023

CASSL: A cell-type annotation method for single cell transcriptomics data using semi-supervised learning.

Dibyendu Bikash Seal, Vivek Das, Rajat K. De

Appl. Intell., 2023

UMINT-FS: UMINT-guided Feature Selection for multi-omics datasets.

Chayan Maitra, Dibyendu Bikash Seal, Vivek Das, Yevgeniy Vorobeychik, Rajat K. De

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Epidemiological challenges in pandemic coronavirus disease (COVID-19): Role of artificial intelligence.

Abhijit Dasgupta, Abhisek Bakshi, Srijani Mukherjee, Kuntal Das, Soumyajeet Talukdar, Pratyayee Chatterjee, Sagnik Mondal, Puspita Das, Subhrojit Ghosh, Archisman Som, Pritha Roy, Rima Kundu, Akash Sarkar, Arnab Biswas, Karnelia Paul, Sujit Basak, Krishnendu Manna, Chinmay Saha, Satinath Mukhopadhyay, Nitai P. Bhattacharyya, Rajat K. De

WIREs Data Mining Knowl. Discov., 2022

GenSeg and MR-GenSeg: A Novel Segmentation Algorithm and its Parallel MapReduce Based Approach for Identifying Genomic Regions With Copy Number Variations.

Rituparna Sinha, Rajat Kumar Pal, Rajat K. De

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

Block Search Stochastic Simulation Algorithm (BlSSSA): A Fast Stochastic Simulation Algorithm for Modeling Large Biochemical Networks.

Debraj Ghosh, Rajat K. De

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

scARMF: Association Rule Mining-based feature selection Framework for Single-Cell transcriptomics data.

Dibyendu Bikash Seal, Vivek Das, Rajat K. De

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2020

ASAPP: Architectural Similarity-Based Automated Pathway Prediction System and Its Application in Host-Pathogen Interactions.

Rishika Sen, Somnath Tagore, Rajat K. De

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Pattern and Rule Mining for Identifying Signatures of Epileptic Patients from Clinical EEG Data.

Abhijit Dasgupta, Losiana Nayak, Ritankar Das, Debasis Basu, Preetam Chandra, Rajat K. De

Fundam. Informaticae, 2020

Metabolic pathway engineering: Perspectives and applications.

Abhijit Dasgupta, Nirmalya Chowdhury, Rajat K. De

Comput. Methods Programs Biomed., 2020

2019

A Model for Distributed Processing and Analyses of NGS Data under Map-Reduce Paradigm.

Sandip Samaddar, Rituparna Sinha, Rajat K. De

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

PyPredT6: A python-based prediction tool for identification of Type VI effector proteins.

Rishika Sen, Losiana Nayak, Rajat K. De

J. Bioinform. Comput. Biol., 2019

Cluster Quality based Non-Reductional (CQNR) oversampling technique and effector protein predictor based on 3D structure (EPP3D) of proteins.

Rishika Sen, Somnath Tagore, Rajat K. De

Comput. Biol. Medicine, 2019

Two-Class in Silico Categorization of Intermediate Epileptic EEG Data.

Abhijit Dasgupta, Ritankar Das, Losiana Nayak, Ashis Datta, Rajat K. De

Proceedings of the Pattern Recognition and Machine Intelligence, 2019

2018

Succinate aggravates NAFLD progression to liver cancer on the onset of obesity: An <i>in silico</i> model.

Indrani Ray, Abhijit Dasgupta, Rajat K. De

J. Bioinform. Comput. Biol., 2018

2017

Slow update stochastic simulation algorithms for modeling complex biochemical networks.

Debraj Ghosh, Rajat K. De

Biosyst., 2017

OCDD: an obesity and co-morbid disease database.

Indrani Ray, Anindya Bhattacharya, Rajat K. De

BioData Min., 2017

Feature Selection and Fuzzy Rule Mining for Epileptic Patients from Clinical EEG Data.

Abhijit Dasgupta, Losiana Nayak, Ritankar Das, Debasis Basu, Preetam Chandra, Rajat K. De

Proceedings of the Pattern Recognition and Machine Intelligence, 2017

2016

Wnt signal transduction pathways: modules, development and evolution.

Losiana Nayak, Nitai P. Bhattacharyya, Rajat K. De

BMC Syst. Biol., 2016

Fuzzy Correlated Association Mining: Selecting altered associations among the genes, and some possible marker genes mediating certain cancers.

Anupam Ghosh, Rajat K. De

Appl. Soft Comput., 2016

2015

Concepts of relative sample outlier (RSO) and weighted sample similarity (WSS) for improving performance of clustering genes: co-function and co-regulation.

Anindya Bhattacharya, Nirmalya Chowdhury, Rajat K. De

Int. J. Data Min. Bioinform., 2015

Evolutionary growth of certain metabolic pathways involved in the functioning of GAD and INS genes in Type 1 Diabetes Mellitus: Their architecture and stability.

Somnath Tagore, Rajat K. De

Comput. Biol. Medicine, 2015

A novel locally guided genome reassembling technique using an artificial ant system.

Susobhan Baidya, Rajat Kumar De

Appl. Intell., 2015

A module tree of Wnt signal transduction pathways.

Losiana Nayak, Nitai P. Bhattacharyya, Rajat K. De

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Analyzing epileptogenic brain connectivity networks using clinical EEG data.

Abhijit Dasgupta, Ritankar Das, Losiana Nayak, Rajat K. De

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

Development of a fuzzy entropy based method for detecting altered gene-gene interactions in carcinogenic state.

Anupam Ghosh, Rajat K. De

J. Intell. Fuzzy Syst., 2014

Selection of genes mediating certain cancers, using a neuro-fuzzy approach.

Anupam Ghosh, Bibhas Chandra Dhara, Rajat K. De

Neurocomputing, 2014

2013

An Optimization Rule for In Silico Identification of Targeted Overproduction in Metabolic Pathways.

Mouli Das, C. A. Murthy, Rajat K. De

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

Gaussian Fuzzy Index (GFI) for Cluster Validation: Identification of High Quality Biologically Enriched Clusters of Genes and Selection of Some Possible Genes Mediating Lung Cancer.

Anupam Ghosh, Rajat K. De

Proceedings of the Pattern Recognition and Machine Intelligence, 2013

2012

Modeling the Optimal Central carbon metabolic pathways under Feedback Inhibition using flux Balance Analysis.

Rajat K. De, Namrata Tomar

J. Bioinform. Comput. Biol., 2012

A Second-Order Learning Algorithm for Computing Optimal Regulatory Pathways.

Mouli Das, C. A. Murthy, Subhasis Mukhopadhyay, Rajat K. De

Proceedings of the Perception and Machine Intelligence - First Indo-Japan Conference, 2012

2011

Detecting breakdown points in metabolic networks.

Somnath Tagore, Rajat K. De

Comput. Biol. Chem., 2011

A novel noise handling method to improve clustering of gene expression patterns.

Anindya Bhattacharya, Rajat K. De

BMC Bioinform., 2011

Developmental Trend Derived from Modules of Wnt Signaling Pathways.

Losiana Nayak, Rajat K. De

Proceedings of the Pattern Recognition and Machine Intelligence, 2011

Neuro-fuzzy Methodology for Selecting Genes Mediating Lung Cancer.

Rajat K. De, Anupam Ghosh

Proceedings of the Pattern Recognition and Machine Intelligence, 2011

A Methodology for Handling a New Kind of Outliers Present in Gene Expression Patterns.

Anindya Bhattacharya, Rajat K. De

Proceedings of the Pattern Recognition and Machine Intelligence, 2011

A fuzzy entropy based approach for development of gene prediction networks (GPNs): detecting altered dependency in carcinogenic state.

Anupam Ghosh, Rajat K. De

Proceedings of the ACM International Conference on Bioinformatics, 2011

2010

Average correlation clustering algorithm (ACCA) for grouping of co-regulated genes with similar pattern of variation in their expression values.

Anindya Bhattacharya, Rajat K. De

J. Biomed. Informatics, 2010

2009

Interval based fuzzy systems for identification of important genes from microarray gene expression data: Application to carcinogenic development.

Rajat K. De, Anupam Ghosh

J. Biomed. Informatics, 2009

Linguistic recognition system for identification of some possible genes mediating the development of lung adenocarcinoma.

Rajat K. De, Anupam Ghosh

Inf. Fusion, 2009

Bi-correlation clustering algorithm for determining a set of co-regulated genes.

Anindya Bhattacharya, Rajat K. De

Bioinform., 2009

A Constraint Based Method for Optimization in Metabolic Pathways.

Mouli Das, Subhasis Mukhopadhyay, Rajat K. De

Proceedings of the Pattern Recognition and Machine Intelligence, 2009

2008

Incorporation of enzyme concentrations into FBA and identification of optimal metabolic pathways.

Rajat K. De, Mouli Das, Subhasis Mukhopadhyay

BMC Syst. Biol., 2008

Divisive Correlation Clustering Algorithm (DCCA) for grouping of genes: detecting varying patterns in expression profiles.

Anindya Bhattacharya, Rajat K. De

Bioinform., 2008

Determination of optimal metabolic pathways through a new learning algorithm.

C. A. Murthy, Mouli Das, Rajat K. De, Subhasis Mukhopadhyay

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007

An algorithm for modularization of MAPK and calcium signaling pathways: Comparative analysis among different species.

Losiana Nayak, Rajat K. De

J. Biomed. Informatics, 2007

Identification of Gene Regulatory Pathways: A Regularization Method.

Mouli Das, Rajat K. De, Subhasis Mukhopadhyay

Proceedings of the Pattern Recognition and Machine Intelligence, 2007

2006

Connectionist Modelling of Dynamics of Gene Expression and Reverse Engineering Gene Regulatory Networks.

Rajat K. De, Kasturi Biswas

Proceedings of the International Joint Conference on Neural Networks, 2006

Identification of Over and Under Expressed Genes Mediating Allergic Asthma.

Rajat K. De, Anindya Bhattacharya

Proceedings of the Advances in Applied Artificial Intelligence, 2006

2005

A hardware pipeline for function optimization using genetic algorithms.

Malay Kumar Pakhira, Rajat K. De

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2003

Segmentation of remotely sensed images using wavelet features and their evaluation in soft computing framework.

Mausumi Acharyya, Rajat K. De, Malay Kumar Kundu

IEEE Trans. Geosci. Remote. Sens., 2003

Extraction of Features Using M-Band Wavelet Packet Frame and Their Neuro-Fuzzy Evaluation for Multitexture Segmentation.

Mausumi Acharyya, Rajat K. De, Malay Kumar Kundu

IEEE Trans. Pattern Anal. Mach. Intell., 2003

2002

Unsupervised feature extraction using neuro-fuzzy approach.

Rajat K. De, Jayanta Basak, Sankar K. Pal

Fuzzy Sets Syst., 2002

2001

A connectionist model for selection of cases.

Rajat K. De, Sankar K. Pal

Inf. Sci., 2001

Case Based Systems: A Neuro-Fuzzy Method for Selecting Cases.

Rajat K. De, Sankar K. Pal

Proceedings of the Soft Computing in Case Based Reasoning, 2001

2000

Unsupervised feature evaluation: a neuro-fuzzy approach.

Sankar K. Pal, Rajat K. De, Jayanta Basak

IEEE Trans. Neural Networks Learn. Syst., 2000

1999

Neuro-fuzzy feature evaluation with theoretical analysis.

Rajat K. De, Jayanta Basak, Sankar K. Pal

Neural Networks, 1999

1998

Unsupervised feature selection using a neuro-fuzzy approach.

Jayanta Basak, Rajat K. De, Sankar K. Pal

Pattern Recognit. Lett., 1998

Fuzzy Feature Evaluation Index and Connectionist Realization.

Sankar K. Pal, Jayanta Basak, Rajat K. De

Inf. Sci., 1998

Fuzzy Feature Evaluation Index and Connectionist Realization - II. Theoretical Analysis.

Jayanta Basak, Rajat K. De, Sankar K. Pal

Inf. Sci., 1998

1997

Knowledge-based fuzzy MLP for classification and rule generation.

Sushmita Mitra, Rajat K. De, Sankar K. Pal

IEEE Trans. Neural Networks, 1997

Feature analysis: Neural network and fuzzy set theoretic approaches.

Rajat K. De, Nikhil R. Pal, Sankar K. Pal

Pattern Recognit., 1997

1996

Feature selection: a neuro-fuzzy approach.

Sankar K. Pal, Jayanta Basak, Rajat K. De

Proceedings of International Conference on Neural Networks (ICNN'96), 1996