R. K. De

发表

Case-based classification using fuzziness and neural networks

R. K. De, S. K. Pal, 1998, KDD 1998.

NEURO-FUZZY MODELS FOR FEATURE SELECTION AND CLASSIFICATION

Sankar K. Pal, R. K. De, 2001 .

MAPK Signaling Pathways and Their Recursive Modularization

R. K. De, L. Nayak, 2006, 2006 15th International Conference on Computing.

A review on host–pathogen interactions: classification and prediction

R. K. De, L. Nayak, R. Sen, 2016, European Journal of Clinical Microbiology & Infectious Diseases.

Analyzing methods for path mining with applications in metabolomics.

Nirmalya Chowdhury, Somnath Tagore, Rajat K De, 2014, Gene.

Comparative Analysis of Clustering and Biclustering Algorithms for Grouping of Genes: Co-Function and Co-Regulation

Nirmalya Chowdhury, Rajat K. De, R. K. De, 2012 .

A Comprehensive View on Metabolic Pathway Analysis Methodologies

R. K. De, Namrata Tomar, 2014 .

Comparing methods for metabolic network analysis and an application to metabolic engineering.

R. K. De, Namrata Tomar, 2013, Gene.

Disease co-morbidity and the human Wnt signaling pathway: a network-wise study.

R. K. De, L. Nayak, Harinandan Tunga, 2013, Omics : a journal of integrative biology.

Estimating gene expression from DNA methylation and copy number variation: A deep learning regression model for multi-omics integration.

R. K. De, Saptarsi Goswami, Vivek Das, 2020, Genomics.

UMINT: Unsupervised Neural Network For Single Cell Multi-Omics Integration

R. K. De, Vivek Das, D. Seal, 2022, bioRxiv.

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

R. K. De, S. Mukhopadhyay, N. Bhattacharyya, 2020, WIREs Data Mining Knowl. Discov..

Comparative analysis of various modularization algorithms and species specific study of VEGF signaling pathways

R. K. De, Namrata Tomar, L. Nayak, 2010 .

Gradient Descent Optimization in Gene Regulatory Pathways

R. K. De, S. Mukhopadhyay, Mouli Das, 2010, PloS one.

Second order optimization for the inference of gene regulatory pathways

C. A. Murthy, R. K. De, Mouli Das, 2014, Statistical applications in genetics and molecular biology.

Expected return time to the initial state for biochemical systems with linear cyclic chains: unidirectional and bidirectional reactions

R. K. De, S. Mukherjee, D. Ghosh, 2018, Sādhanā.

Immunoinformatics: an integrated scenario

Rajat K De, R. K. De, Namrata Tomar, 2010, Immunology.

Comparative Analysis of Cluster Validity Indices in Identifying Some Possible Genes Mediating Certain Cancers

R. K. De, B. C. Dhara, A. Ghosh, 2013, Molecular informatics.

Structural disorder: a tool for housekeeping proteins performing tissue-specific interactions

R. K. De, Sanghita Banerjee, 2016, Journal of biomolecular structure & dynamics.

Performance and Evaluation of MicroRNA Gene Identification Tools

R. K. De, Swati Sinha, T. Vasulu, 2009 .

Clustering on Gene Expression and Fold Values: Identification of Some Possible Genes Mediating Allergic Asthma

R. K. De, A. Bhattacharya, 2007 .

Precision Oncology with Electronic Medical Records

R. K. De, L. Nayak, Losiana Nayak, 2019, EMJ Innovations.

Deciphering the cause of evolutionary variance within intrinsically disordered regions in human proteins

R. K. De, S. Chakraborty, Sanghita Banerjee, 2017, Journal of biomolecular structure & dynamics.

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

R. K. De, Namrata Tomar, 2012, J. Bioinform. Comput. Biol..

A fuzzy logic controller based approach to model the switching mechanism of the mammalian central carbon metabolic pathway in normal and cancer cells.

R. K. De, Abhijit Dasgupta, D. Paul, 2016, Molecular bioSystems.

Exploring the Altered Dynamics of Mammalian Central Carbon Metabolic Pathway in Cancer Cells: A Classical Control Theoretic Approach

R. K. De, Abhijit Dasgupta, D. Paul, 2015, PloS one.

Simulating an Infection Growth Model in Certain Healthy Metabolic Pathways of Homo sapiens for Highlighting Their Role in Type I Diabetes mellitus Using Fire-Spread Strategy, Feedbacks and Sensitivities

R. K. De, Somnath Tagore, 2013, PloS one.

A Model of an Integrated Immune System Pathway in Homo sapiens and Its Interaction with Superantigen Producing Expression Regulatory Pathway in Staphylococcus aureus: Comparing Behavior of Pathogen Perturbed and Unperturbed Pathway

R. K. De, Namrata Tomar, 2013, PloS one.

Modeling host–pathogen interactions: H. sapiens as a host and C. difficile as a pathogen

R. K. De, Namrata Tomar, 2012, Journal of molecular recognition : JMR.

Cross talk between the metabolic and immune systems.

R. K. De, Namrata Tomar, 2014, Methods in molecular biology.

An optimal genome reassembling technique by Artificial Bees System for small genome sequences

R. K. De, Susobhan Baidya, 2016, 2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN).

Identification of certain cancer-mediating genes using Gaussian fuzzy cluster validity index

R. K. De, A. Ghosh, 2015, Journal of Biosciences.

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, R. K. De, 2010, J. Biomed. Informatics.

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

Anindya Bhattacharya, Rajat K. De, R. K. De, 2008, Bioinform..

Two-Class in Silico Categorization of Intermediate Epileptic EEG Data

Rajat K. De, Abhijit Dasgupta, Ritankar Das, 2019, PReMI.

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

Rajat K. De, Abhijit Dasgupta, Ritankar Das, 2017, PReMI.

Metabolic pathway engineering: Perspectives and applications

Nirmalya Chowdhury, Abhijit Dasgupta, Rajat K De, 2020, Comput. Methods Programs Biomed..

Tools, Databases, and Applications of Immunoinformatics

Rajat K. De, R. K. De, Namrata Tomar, 2018 .

Immunoinformatics: a brief review.

Rajat K De, R. K. De, Namrata Tomar, 2014, Methods in molecular biology.

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

R. K. De, Susobhan Baidya, 2015, Applied Intelligence.

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

Rajat K. De, Anupam Ghosh, R. K. De, 2009, J. Biomed. Informatics.

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

Rajat K. De, Anupam Ghosh, R. K. De, 2009, Inf. Fusion.

Computational neuroscience and neuroinformatics: Recent progress and resources

Kuntal Ghosh, Abhijit Dasgupta, Rajat K De, 2018, Journal of Biosciences.

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

Bibhas Chandra Dhara, Rajat K. De, Anupam Ghosh, 2014, Neurocomputing.

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

R. K. De, Vivek Das, D. Seal, 2022, Applied Intelligence.

Pathway Modeling: New face of Graphical Probabilistic Analysis

Rajat K. De, R. K. De, Virendra S. Gomase, 2008 .

Obesity: An Immunometabolic Perspective

R. K. De, S. Mahata, I. Ray, 2016, Front. Endocrinol..

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

Nirmalya Chowdhury, Anindya Bhattacharya, Rajat K. De, 2015, Int. J. Data Min. Bioinform..

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

Anindya Bhattacharya, Rajat K. De, R. K. De, 2009, Bioinform..

Clustering Using Pipelined Genetic Algorithm

Rajat K. De, Malay K. Pakhira, R. K. De, 2013 .

An integrated pathway system modeling of Saccharomyces cerevisiae HOG pathway: a Petri net based approach

Rajat K. De, Olivia Choudhury, Ankush Chakrabarty, 2012, Molecular Biology Reports.

Wnt signal transduction pathways: modules, development and evolution

Rajat K. De, R. K. De, Losiana Nayak, 2016, BMC Systems Biology.

A module tree of Wnt signal transduction pathways

Rajat K. De, R. K. De, Losiana Nayak, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Unsupervised feature extraction using neuro-fuzzy approach

Sankar K. Pal, Rajat K. De, Jayanta Basak, 2002, Fuzzy Sets Syst..

Unsupervised feature evaluation: a neuro-fuzzy approach

Sankar K. Pal, Rajat K. De, Jayanta Basak, 2000, IEEE Trans. Neural Networks Learn. Syst..

Unsupervised feature selection using a neuro-fuzzy approach

Sankar K. Pal, Rajat K. De, Jayanta Basak, 1998, Pattern Recognit. Lett..

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

Rajat K De, R. K. De, Rituparna Sinha, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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

R. K. De, Rituparna Sinha, Rajat Pal, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A review on host–pathogen interactions: classification and prediction

R. K. De, L. Nayak, R. Sen, 2016, European Journal of Clinical Microbiology & Infectious Diseases.

Knowledge-based fuzzy MLP for classification and rule generation

Sankar K. Pal, Sushmita Mitra, Rajat K. De, 1997, IEEE Trans. Neural Networks.

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

Anindya Bhattacharya, Rajat K. De, R. K. De, 2011, BMC Bioinformatics.

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

Anindya Bhattacharya, Rajat K. De, R. K. De, 2011, PReMI.

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

Somnath Tagore, Rajat K De, R. K. De, 2019, Comput. Biol. Medicine.

Catestatin improves insulin sensitivity by attenuating endoplasmic reticulum stress: In vivo and in silico validation

R. K. De, S. Mahata, N. Chowdhury, 2020, Computational and structural biotechnology journal.

Catestatin improves insulin sensitivity in diet-induced obese mice: in vivo and in silico validation

R. K. De, S. Mahata, N. Chowdhury, 2019, bioRxiv.

Automated Reconstruction of Metabolic Pathways of Homo Sapiensinvolved in the Functioning of GAD1 and GAD2 Genes based on StructuralGrammars

R. K. De, Somnath Tagore, 2012 .

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

Rajat K. De, R. K. De, Losiana Nayak, 2007, J. Biomed. Informatics.

A brief outline of the immune system.

R. K. De, Namrata Tomar, 2014, Methods in molecular biology.

Feature analysis: Neural network and fuzzy set theoretic approaches

Sankar K. Pal, Nikhil R. Pal, Rajat K. De, 1997, Pattern Recognit..

Modularized study of human calcium signalling pathway

R. K. De, L. Nayak, 2007, Journal of Biosciences.

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

Sankar K. Pal, Rajat K. De, R. K. De, 2000, Soft Computing in Case Based Reasoning.

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

R. K. De, S. Mukhopadhyay, Mouli Das, 2008, BMC Systems Biology.

A control theoretic three timescale model for analyzing energy management in mammalian cancer cells

R. K. De, N. Chowdhury, Abhijit Dasgupta, 2020, Computational and structural biotechnology journal.

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

Mausumi Acharyya, Malay Kumar Kundu, Rajat K. De, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

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

Mausumi Acharyya, Malay Kumar Kundu, Rajat K. De, 2003, IEEE Trans. Geosci. Remote. Sens..

Rajat K. De, Anupam Ghosh, R. K. De, 2016, Appl. Soft Comput..

Analyzing epileptogenic brain connectivity networks using clinical EEG data

Rajat K. De, Abhijit Dasgupta, Ritankar Das, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Neuro-fuzzy Methodology for Selecting Genes Mediating Lung Cancer

Rajat K. De, Anupam Ghosh, R. K. De, 2011, PReMI.

SAGPAR: Structural Grammar-based automated pathway reconstruction

R. K. De, Somnath Tagore, 2012, Interdisciplinary Sciences: Computational Life Sciences.

NeuroDAVIS: A neural network model for data visualization

R. K. De, D. Seal, Chayan Maitra, 2023, Neurocomputing.

Computational neuroscience and neuroinformatics: Recent progress and resources

R. K. De, R. Das, Kuntal Ghosh, 2018, Journal of Biosciences.

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

R. K. De, Vivek Das, D. Seal, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

An integrated pathway system modeling of Saccharomyces cerevisiae HOG pathway: a Petri net based approach

R. K. De, Namrata Tomar, A. Chakrabarty, 2013, Molecular Biology Reports.

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

Rajat K. De, Somnath Tagore, R. K. De, 2015, Comput. Biol. Medicine.

A Model for Optimal Assignment of Non-Uniquely Mapped NGS Reads in DNA Regions of Duplications or Deletions

R. K. De, Rajat K. Pal, Rituparna Sinha, 2022, 2022 2nd International Conference on Intelligent Technologies (CONIT).

Immunoinformatics

R. K. De, Namrata Tomar, 2014, Methods in Molecular Biology.

Identification of Over and Under Expressed Genes Mediating Allergic Asthma

Anindya Bhattacharya, Rajat K. De, R. K. De, 2006, IEA/AIE.

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

Rajat K. De, Anupam Ghosh, R. K. De, 2013, PReMI.

Unsupervised neural network for single cell Multi-omics INTegration (UMINT): an application to health and disease

R. K. De, Vivek Das, D. Seal, 2023, Frontiers in Molecular Biosciences.

Succinate aggravates NAFLD progression to liver cancer on the onset of obesity: An in silico model

Rajat K. De, Abhijit Dasgupta, R. K. De, 2018, J. Bioinform. Comput. Biol..

Expected return time to the initial state for biochemical systems with linear cyclic chains: unidirectional and bidirectional reactions

R. K. De, Sayan Mukherjee, D. Ghosh, 2018, Sādhanā.

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

Rajat K. De, R. K. De, Kasturi Biswas, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Slow update stochastic simulation algorithms for modeling complex biochemical networks

Debraj Ghosh, Rajat K. De, R. K. De, 2017, Biosyst..

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

Rajat K. De, R. K. De, Losiana Nayak, 2019, J. Bioinform. Comput. Biol..

Precision medicine with electronic medical records: from the patients and for the patients.

Rajat K De, R. K. De, Losiana Nayak, 2016, Annals of translational medicine.

Nsp7 and Spike Glycoprotein of SARS-CoV-2 Are Envisaged as Potential Targets of Vitamin D and Ivermectin

R. K. De, S. Mukhopadhyay, N. Bhattacharyya, 2020 .

SAGPAR: Structural Grammar-based automated pathway reconstruction

Rajat K. De, Somnath Tagore, R. K. De, 2012, Interdisciplinary Sciences: Computational Life Sciences.

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

Rajat K. De, R. K. De, Abhijit Dasgupta, 2020, Fundam. Informaticae.

A review on host–pathogen interactions: classification and prediction

R. K. De, Rishika Sen, Losiana Nayak, 2016, European Journal of Clinical Microbiology & Infectious Diseases.

OCDD: an obesity and co-morbid disease database

Anindya Bhattacharya, Rajat K. De, R. K. De, 2017, BioData Mining.

CNV-CH: A Convex Hull Based Segmentation Approach to Detect Copy Number Variations (CNV) Using Next-Generation Sequencing Data

R. K. De, Rituparna Sinha, Sandip Samaddar, 2015, PloS one.

A Neural Network Model for Matrix Factorization: Dimensionality Reduction

R. K. De, Prasun Dutta, 2022, 2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE).

n2MFn2: Non-negative Matrix Factorization in A Single Deconstruction Single Reconstruction Neural Network Framework for Dimensionality Reduction

R. K. De, Prasun Dutta, 2022, 2022 International Conference on High Performance Big Data and Intelligent Systems (HDIS).

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

Subhasis Mukhopadhyay, Rajat K. De, Mouli Das, 2008, BMC Systems Biology.

Detecting breakdown points in metabolic networks

Rajat K. De, Somnath Tagore, R. K. De, 2011, Comput. Biol. Chem..

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

R. K. De, Mouli Das, Subhasis Mukhopadhyay, 2008, BMC Systems Biology.

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

Rajat K. De, Anupam Ghosh, R. K. De, 2011, BCB '11.

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

Rajat K. De, Anupam Ghosh, R. K. De, 2014, J. Intell. Fuzzy Syst..