Rajat K. De

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 28

Top Topics

Biochemical Networks

Feature Selection

Signal Transduction Pathways

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Rituparna Sinha, Rajat Kumar Pal, Rajat K. De
ENLIGHTENMENT: A Scalable Annotated Database of Genomics and NGS-Based Nucleotide Level Profiles. IEEE ACM Trans. Comput. Biol. Bioinform. 21 (1) (2024)
Chayan Maitra, Dibyendu Bikash Seal, Rajat K. De
NeuroDAVIS: A neural network model for data visualization. Neurocomputing 573 (2024)
Prasun Dutta, Rajat K. De
Input Guided Multiple Deconstruction Single Reconstruction neural network models for Matrix Factorization. CoRR (2024)
Tao Zhang, Rajagopal Venkatesaramani, Rajat K. De, Bradley A. Malin, Yevgeniy Vorobeychik
A Game-Theoretic Approach to Privacy-Utility Tradeoff in Sharing Genomic Summary Statistics. CoRR (2024)
Chayan Maitra, Dibyendu Bikash Seal, Vivek Das, Yevgeniy Vorobeychik, Rajat K. De
UMINT-FS: UMINT-guided Feature Selection for multi-omics datasets. BIBM (2023)
Dibyendu Bikash Seal, Vivek Das, Rajat K. De
CASSL: A cell-type annotation method for single cell transcriptomics data using semi-supervised learning. Appl. Intell. 53 (2) (2023)
Chayan Maitra, Dibyendu Bikash Seal, Rajat K. De
NeuroDAVIS: A neural network model for data visualization. CoRR (2023)
Debraj Ghosh, Rajat K. De
Block Search Stochastic Simulation Algorithm (BlSSSA): A Fast Stochastic Simulation Algorithm for Modeling Large Biochemical Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (4) (2022)
Dibyendu Bikash Seal, Vivek Das, Rajat K. De
scARMF: Association Rule Mining-based feature selection Framework for Single-Cell transcriptomics data. BIBM (2022)
Rituparna Sinha, Rajat Kumar Pal, Rajat K. De
GenSeg and MR-GenSeg: A Novel Segmentation Algorithm and its Parallel MapReduce Based Approach for Identifying Genomic Regions With Copy Number Variations. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (1) (2022)
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
Epidemiological challenges in pandemic coronavirus disease (COVID-19): Role of artificial intelligence. WIREs Data Mining Knowl. Discov. 12 (4) (2022)
Abhijit Dasgupta, Losiana Nayak, Ritankar Das, Debasis Basu, Preetam Chandra, Rajat K. De
Pattern and Rule Mining for Identifying Signatures of Epileptic Patients from Clinical EEG Data. Fundam. Informaticae 176 (2) (2020)
Rishika Sen, Somnath Tagore, Rajat K. De
ASAPP: Architectural Similarity-Based Automated Pathway Prediction System and Its Application in Host-Pathogen Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (2) (2020)
Abhijit Dasgupta, Nirmalya Chowdhury, Rajat K. De
Metabolic pathway engineering: Perspectives and applications. Comput. Methods Programs Biomed. 192 (2020)
Abhijit Dasgupta, Ritankar Das, Losiana Nayak, Ashis Datta, Rajat K. De
Two-Class in Silico Categorization of Intermediate Epileptic EEG Data. PReMI (2) (2019)
Rishika Sen, Somnath Tagore, Rajat K. De
Cluster Quality based Non-Reductional (CQNR) oversampling technique and effector protein predictor based on 3D structure (EPP3D) of proteins. Comput. Biol. Medicine 112 (2019)
Sandip Samaddar, Rituparna Sinha, Rajat K. De
A Model for Distributed Processing and Analyses of NGS Data under Map-Reduce Paradigm. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (3) (2019)
Rishika Sen, Losiana Nayak, Rajat K. De
PyPredT6: A python-based prediction tool for identification of Type VI effector proteins. J. Bioinform. Comput. Biol. 17 (3) (2019)
Indrani Ray, Abhijit Dasgupta, Rajat K. De
model. J. Bioinform. Comput. Biol. 16 (4) (2018)
Indrani Ray, Anindya Bhattacharya, Rajat K. De
OCDD: an obesity and co-morbid disease database. BioData Min. 10 (1) (2017)
Abhijit Dasgupta, Losiana Nayak, Ritankar Das, Debasis Basu, Preetam Chandra, Rajat K. De
Feature Selection and Fuzzy Rule Mining for Epileptic Patients from Clinical EEG Data. PReMI (2017)
Debraj Ghosh, Rajat K. De
Slow update stochastic simulation algorithms for modeling complex biochemical networks. Biosyst. 162 (2017)
Anupam Ghosh, Rajat K. De
Fuzzy Correlated Association Mining: Selecting altered associations among the genes, and some possible marker genes mediating certain cancers. Appl. Soft Comput. 38 (2016)
Losiana Nayak, Nitai P. Bhattacharyya, Rajat K. De
Wnt signal transduction pathways: modules, development and evolution. BMC Syst. Biol. 10 (S-2) (2016)
Abhijit Dasgupta, Ritankar Das, Losiana Nayak, Rajat K. De
Analyzing epileptogenic brain connectivity networks using clinical EEG data. BIBM (2015)
Somnath Tagore, Rajat K. De
Evolutionary growth of certain metabolic pathways involved in the functioning of GAD and INS genes in Type 1 Diabetes Mellitus: Their architecture and stability. Comput. Biol. Medicine 61 (2015)
Losiana Nayak, Nitai P. Bhattacharyya, Rajat K. De
A module tree of Wnt signal transduction pathways. BIBM (2015)
Anindya Bhattacharya, Nirmalya Chowdhury, Rajat K. De
Concepts of relative sample outlier (RSO) and weighted sample similarity (WSS) for improving performance of clustering genes: co-function and co-regulation. Int. J. Data Min. Bioinform. 11 (3) (2015)
Anupam Ghosh, Bibhas Chandra Dhara, Rajat K. De
Selection of genes mediating certain cancers, using a neuro-fuzzy approach. Neurocomputing 133 (2014)
Anupam Ghosh, Rajat K. De
Development of a fuzzy entropy based method for detecting altered gene-gene interactions in carcinogenic state. J. Intell. Fuzzy Syst. 26 (6) (2014)
Anupam Ghosh, Rajat K. De
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. PReMI (2013)
Mouli Das, C. A. Murthy, Rajat K. De
An Optimization Rule for In Silico Identification of Targeted Overproduction in Metabolic Pathways. IEEE ACM Trans. Comput. Biol. Bioinform. 10 (4) (2013)
Rajat K. De, Namrata Tomar
Modeling the Optimal Central carbon metabolic pathways under Feedback Inhibition using flux Balance Analysis. J. Bioinform. Comput. Biol. 10 (6) (2012)
Mouli Das, C. A. Murthy, Subhasis Mukhopadhyay, Rajat K. De
A Second-Order Learning Algorithm for Computing Optimal Regulatory Pathways. PerMIn (2012)
Anindya Bhattacharya, Rajat K. De
A novel noise handling method to improve clustering of gene expression patterns. BMC Bioinform. 12 (S-7) (2011)
Somnath Tagore, Rajat K. De
Detecting breakdown points in metabolic networks. Comput. Biol. Chem. 35 (6) (2011)
Losiana Nayak, Rajat K. De
Developmental Trend Derived from Modules of Wnt Signaling Pathways. PReMI (2011)
Anindya Bhattacharya, Rajat K. De
A Methodology for Handling a New Kind of Outliers Present in Gene Expression Patterns. PReMI (2011)
Rajat K. De, Anupam Ghosh
Neuro-fuzzy Methodology for Selecting Genes Mediating Lung Cancer. PReMI (2011)
Anupam Ghosh, Rajat K. De
A fuzzy entropy based approach for development of gene prediction networks (GPNs): detecting altered dependency in carcinogenic state. BCB (2011)
Anindya Bhattacharya, Rajat K. De
Average correlation clustering algorithm (ACCA) for grouping of co-regulated genes with similar pattern of variation in their expression values. J. Biomed. Informatics 43 (4) (2010)
Rajat K. De, Anupam Ghosh
Linguistic recognition system for identification of some possible genes mediating the development of lung adenocarcinoma. Inf. Fusion 10 (3) (2009)
Anindya Bhattacharya, Rajat K. De
Bi-correlation clustering algorithm for determining a set of co-regulated genes. Bioinform. 25 (21) (2009)
Mouli Das, Subhasis Mukhopadhyay, Rajat K. De
A Constraint Based Method for Optimization in Metabolic Pathways. PReMI (2009)
Rajat K. De, Anupam Ghosh
Interval based fuzzy systems for identification of important genes from microarray gene expression data: Application to carcinogenic development. J. Biomed. Informatics 42 (6) (2009)
Anindya Bhattacharya, Rajat K. De
Divisive Correlation Clustering Algorithm (DCCA) for grouping of genes: detecting varying patterns in expression profiles. Bioinform. 24 (11) (2008)
C. A. Murthy, Mouli Das, Rajat K. De, Subhasis Mukhopadhyay
Determination of optimal metabolic pathways through a new learning algorithm. ICPR (2008)
Rajat K. De, Mouli Das, Subhasis Mukhopadhyay
Incorporation of enzyme concentrations into FBA and identification of optimal metabolic pathways. BMC Syst. Biol. 2 (2008)
Losiana Nayak, Rajat K. De
An algorithm for modularization of MAPK and calcium signaling pathways: Comparative analysis among different species. J. Biomed. Informatics 40 (6) (2007)
Mouli Das, Rajat K. De, Subhasis Mukhopadhyay
Identification of Gene Regulatory Pathways: A Regularization Method. PReMI (2007)
Rajat K. De, Anindya Bhattacharya
Identification of Over and Under Expressed Genes Mediating Allergic Asthma. IEA/AIE (2006)
Rajat K. De, Kasturi Biswas
Connectionist Modelling of Dynamics of Gene Expression and Reverse Engineering Gene Regulatory Networks. IJCNN (2006)
Malay Kumar Pakhira, Rajat K. De
A hardware pipeline for function optimization using genetic algorithms. GECCO (2005)
Mausumi Acharyya, Rajat K. De, Malay Kumar Kundu
Segmentation of remotely sensed images using wavelet features and their evaluation in soft computing framework. IEEE Trans. Geosci. Remote. Sens. 41 (12) (2003)
Mausumi Acharyya, Rajat K. De, Malay Kumar Kundu
Extraction of Features Using M-Band Wavelet Packet Frame and Their Neuro-Fuzzy Evaluation for Multitexture Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 25 (12) (2003)
Rajat K. De, Jayanta Basak, Sankar K. Pal
Unsupervised feature extraction using neuro-fuzzy approach. Fuzzy Sets Syst. 126 (3) (2002)
Rajat K. De, Sankar K. Pal
A connectionist model for selection of cases. Inf. Sci. 132 (1-4) (2001)
Sankar K. Pal, Rajat K. De, Jayanta Basak
Unsupervised feature evaluation: a neuro-fuzzy approach. IEEE Trans. Neural Networks Learn. Syst. 11 (2) (2000)
Rajat K. De, Jayanta Basak, Sankar K. Pal
Neuro-fuzzy feature evaluation with theoretical analysis. Neural Networks 12 (10) (1999)
Sankar K. Pal, Jayanta Basak, Rajat K. De
Fuzzy Feature Evaluation Index and Connectionist Realization. Inf. Sci. 105 (1-4) (1998)
Jayanta Basak, Rajat K. De, Sankar K. Pal
Unsupervised feature selection using a neuro-fuzzy approach. Pattern Recognit. Lett. 19 (11) (1998)
Jayanta Basak, Rajat K. De, Sankar K. Pal
Fuzzy Feature Evaluation Index and Connectionist Realization - II. Theoretical Analysis. Inf. Sci. 111 (1-4) (1998)
Rajat K. De, Nikhil R. Pal, Sankar K. Pal
Feature analysis: Neural network and fuzzy set theoretic approaches. Pattern Recognit. 30 (10) (1997)
Sushmita Mitra, Rajat K. De, Sankar K. Pal
Knowledge-based fuzzy MLP for classification and rule generation. IEEE Trans. Neural Networks 8 (6) (1997)
Sankar K. Pal, Jayanta Basak, Rajat K. De
Feature selection: a neuro-fuzzy approach. ICNN (1996)