Journal

U. Biswas, M. K. Naskar, A. Mukhopadhyay and U. Maulik, “A Heuristic Algorithm for Static Wavelength Assignment in WDM Optical Networks”, IETE Technical Review, Vol. 22, No. 3, pp. 199-204, May-June 2004. [Impact Factor: 1.339]

U. Maulik, A. Mukhopadhyay and S. Bandyopadhyay, “Efficient Clustering with Multi-class Point Identification”, Journal of Three Dimensional Images, Vol. 20, No. 1, pp. 35-40, Japan, 2006.

S. Bandyopadhyay, U. Maulik and A. Mukhopadhyay, “Multiobjective Genetic Clustering for Pixel Classification in Remote Sensing Imagery”, IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No. 5, pp. 1506-1511, 2007. [Impact Factor: 4.662]

S. Bandyopadhyay, A. Mukhopadhyay and U. Maulik, “An Improved Algorithm for Clustering Gene Expression Data”, Bioinformatics, Vol. 23, No. 21, pp. 2859-2865, 2007. [Impact Factor: 5.481]

A. Mukhopadhyay and U. Maulik, “Unsupervised Pixel Classification in Satellite Imagery: A Two-stage Fuzzy Clustering Approach”, Fundamenta Informaticae, Vol. 86, No. 4, pp. 411-428, 2008. [Impact Factor: 0.725]

I. Saha and A. Mukhopadhyay, “Improved Crisp and Fuzzy Clustering Techniques for Categorical Data”, IAENG International Journal of Computer Science, Vol. 35 Issue 4, pp. 438-450, 2008.

U. Biswas, U. Maulik, A. Mukhopadhyay and M. K. Naskar, “Multiobjective Evolutionary Approach to Cost-effective Traffic Grooming in Unidirectional SONET/ WDM Rings”, Photonic Network Communications, Vol. 18, No. 1, pp. 105-115, 2009. [Impact Factor: 1.203]

A. Mukhopadhyay and U Maulik, “Unsupervised Pixel Classification in Satellite Imagery using Multiobjective Fuzzy Clustering combined with SVM Classifier”, IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, No. 4, pp. 1132-1138, 2009. [Impact Factor: 4.662]

A. Mukhopadhyay, U Maulik and S. Bandyopadhyay, “Multi-objective Genetic Algorithm based Fuzzy Clustering of Categorical Attributes”, IEEE Transactions on Evolutionary Computation, Vol. 13, No. 5, pp. 991-1005, 2009. [Impact Factor: 8.124]

U Maulik, A. Mukhopadhyay and S. Bandyopadhyay, “Combining Pareto-Optimal Clusters using Supervised Learning for Identifying Co-expressed Genes”, BMC Bioinformatics, Vol. 10, No. 27, 2009. [Impact Factor: 2.213]

U. Maulik and A. Mukhopadhyay, “Simulated Annealing based Automatic Fuzzy Clustering combined with ANN Classification for Analyzing Microarray Data”, Computers and Operations Research, Vol. 37, No. 8, pp. 1369-1380, 2009. [Impact Factor: 2.962]

U. Maulik, A. Mukhopadhyay and S. Bandyopadhyay, “Finding Multiple Coherent Biclusters in Microarray Data using Variable String Length Multiobjective Genetic Algorithm”, IEEE Transactions on Information Technology in Biomedicine, Vol. 13, No. 6, pp. 969-975, 2009. [Impact Factor: 2.493]

A. Mukhopadhyay and U. Maulik, “Towards Improving Fuzzy Clustering using Support Vector Machine: Application to Gene Expression Data”, Pattern Recognition, Vol. 42, No. 11, pp. 2744-2763, 2009. [Impact Factor: 3.962]

A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “A Novel Coherence Measure for Discovering Scaling Biclusters from Gene Expression Data”, Journal of Bioinformatics and Computational Biology, Vol. 7, No. 5, pp. 853-868, 2009. [Impact Factor: 0.991]

A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “On Biclustering of Gene Expression Data”, Current Bioinformatics, Vol. 5, No. 3, pp. 204-216, 2010. [Impact Factor: 0.54]

U. Biswas, A. Mukhopadhyay, U. Maulik and M. K. Naskar, “Lightpath Protection using Genetic Algorithm through Topology Mapping in WDM Optical Networks”, Journal of Optics, Vol. 39, No. 1, pp. 32-38, 2010.

U. Biswas, A. Mukhopadhyay, U. Maulik and M. K. Naskar, “Multiobjective Genetic Algorithm based Approach to Traffic Grooming in Unidirectional SONET/WDM Rings”, Journal of Optics, Vol. 39, No. 3, pp. 136-142, 2010.

A. Mukhopadhyay, S. Bandyopadhyay and U. Maulik, “Multi-class Clustering of Cancer Subtypes through SVM based Ensemble of Pareto-optimal Solutions for Gene Marker Identification”, PLOS ONE, Vol. 5, No. 11, 2010. [Impact Factor: 2.766]

D. Chakraborti, P. Biswas, A. Mukhopadhyay, “A Genetic Algorithm based Fuzzy Goal Programming to Multiobjective Optimal Planning of Electric Power Generation Dispatch”, International journal of Computational Intelligence Research, Vol. 6, No. 4, pp. 929-937, 2010.

A. Mukhopadhyay and U. Maulik, “A Multiobjective Approach to MR Brain Image Segmentation”, Applied Soft Computing, Vol. 11, No. 1, pp. 872-880, 2011. [Impact Factor: 3.907]

B. B. Pal, D. Chakraborti, P. Biswas, A. Mukhopadhyay, “A Genetic Algorithm Based Mixed 0-1 Goal Programming Approach to Interval-valued multiobjective Bilevel Programming Problem”, International Journal of Fuzzy systems and Rough systems, Vol. 4, No. 1, pp. 71-78, 2011.

U. Maulik, M. Bhattacharyya, A. Mukhopadhyay and S. Bandyopadhyay, “Identifying the Immunodeficiency Gateway Proteins in Human and their Involvement in MicroRNA Regulation”, Molecular BioSystems, Royal Society of Chemistry, Vol. 7, No. 6, pp. 1842-1851, 2011. [Impact Factor: 2.759]

L. Dey and A. Mukhopadhyay, “Microarray Gene Expression Data Clustering using PSO based K-means Algorithm”, International Journal of Computer Science and its Applications, Vol. 1, No. 1, pp. 232-236, 2011.

B. B. Pal, D. Chakraborti, P. Biswas and A. Mukhopadhyay, “An application of genetic algorithm method for solving patrol manpower deployment problems through fuzzy goal programming in traffic management system: A case study”, International Journal of Bio-Inspired Computation, Vol. 4, No. 1, pp. 47-60, 2012. [Impact Factor: 2.266]

A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “A Novel Biclustering Approach to Association Rule Mining for Predicting HIV-1–Human Protein Interactions”, PLOS ONE, Vol. 7, No. 4, 2012. [Impact Factor: 2.766]

A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “Gene Expression Data Analysis using Multiobjective Clustering Improved with SVM based Ensemble”, In Silico Biology, Vol. 11, No. 1-2, pp. 19-27, 2012.

A. Mukhopadhyay, S. Ray and M. De, “Detecting Protein Complexes in PPI Network: A Gene Ontology-based Multiobjective Evolutionary Approach”, Molecular BioSystems, Royal Society of Chemistry, Vol. 8, No. 11, pp. 3036-3048, 2012. [Impact Factor: 2.759]

A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “An Interactive Approach to Multiobjective Clustering of Gene Expression Patterns”, IEEE Transactions on Biomedical Engineering, Vol. 60, No. 1, pp. 35-41, 2012. [Impact Factor: 4.288]

U. Maulik, A. Mukhopadhyay, and D. Chakraborty, “Gene-expression Based Cancer Subtypes Prediction through Feature Selection and Transductive SVM”, IEEE Transactions on Biomedical Engineering, Vol. 60, No. 4, pp. 1111-1117, 2013. [Impact Factor: 4.288]

U. Maulik, A. Mukhopadhyay, M. Bhattacharyya, L. Kaderali, B. Brors, S. Bandyopadhyay, and R. Eils, “Mining Quasi-Bicliques from HIV-1–Human Protein Interaction Network: A Multiobjective Biclustering Approach”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 10, No. 2, pp. 423-435, 2013. [Impact Factor: 2.428]

A. Bhar, M. Haubrock, A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay, and E. Wingender, “Coexpression and Coregulation Analysis of Time-Series Gene Expression Data in Estrogen-Induced Breast Cancer Cell”, Algorithms for Molecular Biology, Vol. 8, No. 9, 2013. [Impact Factor: 1.536]

A. Mukhopadhyay and U. Maulik, “An SVM-wrapped Multiobjective Evolutionary Feature Selection Approach for Identifying Cancer-MicroRNA Markers”, IEEE Transactions on NanoBioScience, Vol. 12, No. 4, pp. 275-281, 2013. [Impact Factor: 2.158]

P. Biswas, B. B. Pal, A. Mukhopadhyay and D. Chakraborti, “Genetic Algorithm based Goal Programming Procedure for Solving Interval-Valued Multilevel Programming Problems”, International Journal of Advanced Computer Research, Vol. 3, No. 1(8), pp. 125-135, 2013.

S. Mallik, A. Mukhopadhyay and U. Maulik, “Integrated Statistical and Rule-Mining Techniques for DNA Methylation and Gene Expression Data Analysis”, Journal of Artificial Intelligence and Soft Computing Research, Vol. 3, No. 2, 2013.

B. Barman and A. Mukhopadhyay, “Neural Network-based Approaches for Modeling Metabolic Pathways through Construction of Gene Regulatory Network from Time Series Gene Expression Data”, CSI Journal of Computing, Vol. 2, No. 1, pp. 90-97, 2013.

B. B. Pal, A. Mukhopadhyay, P. Biswas and S. Mukerjee, “A Priority based Fuzzy Goal Programming Method for Solving Thermal Power Generation-Dispatch Problems using Genetic Algorithm”, CSI Journal of Computing, Vol. 2, No. 1, pp. 47-56, 2013.

A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay and C. A. Coello Coello, “A Survey of Multi-Objective Evolutionary Algorithms for Data Mining: Part-I”, IEEE Transactions on Evolutionary Computation, Vol. 18, No. 1, pp. 4-19, 2014. [Impact Factor: 8.124]

A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay and C. A. Coello Coello, “Survey of Multi-Objective Evolutionary Algorithms for Data Mining: Part-II”, IEEE Transactions on Evolutionary Computation, Vol. 18, No. 1, pp. 20-35, 2014. [Impact Factor: 8.124]

S. Bandyopadhyay, S. Mallik and A. Mukhopadhyay, “A Survey and Comparative Study of Statistical Tests for Identifying Differential Expression from Microarray Data”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 11, No. 1, pp. 95-115, 2014. [Impact Factor: 2.428]

A. Mukhopadhyay, S. Ray and U. Maulik, “Incorporating the type and direction information in predicting novel regulatory interactions between HIV-1 and human proteins using a biclustering approach”, BMC Bioinformatics, Vol. 15, No. 26, 2014. [Impact Factor: 2.213]

M. Mandal and A. Mukhopadhyay, “A Graph-Theoretic Approach for Identifying Non-redundant and Relevant Gene Markers from Microarray Data Using Multiobjective Binary PSO”, PLOS ONE, Vol. 9, No. 3, e90949, 2014. [Impact Factor: 2.766]

A. Mukhopadhyay and U. Maulik, “Network-based Study Reveals Potential Infection Pathways of Hepatitis-C Leading to Various Diseases”, PLOS ONE, Vol. 9, No. 4, e94029, 2014. [Impact Factor: 2.766]

A. Mukhopadhyay and M. Mandal, “Identifying Non-redundant Gene Markers from Microarray Data: A Multiobjective Variable Length PSO-based Approach”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 11, No. 6, pp. 1170-1183, 2014. [Impact Factor: 2.428]

A. Mukhopadhyay, “Algorithms for Mining Protein-Protein Interaction Networks”, Annals of Indian National Academy of Engineering (INAE), Vol. XII, pp. 249-256, April 2014.

S. Bandyopadhyay, S. Ray, A. Mukhopadhyay and U. Maulik, “A Review of In Silico Approaches for Analysis and Prediction of HIV-1-Human Protein-Protein Interactions”, Briefings in Bioinformatics, Vol. 16, No. 5, pp. 830-851, doi: 10.1093/bib/bbu041, 2015. [Impact Factor: 6.302]

M. Mandal and A. Mukhopadhyay, “A Novel PSO-based Graph-Theoretic Approach for Identifying Most Relevant and Non-redundant Gene Markers from Gene Expression Data”, International Journal of Parallel, Emergent and Distributed Systems, Vol. 30, No. 3, pp. 175-192, 2015.

S. Mallik, A. Mukhopadhyay and U. Maulik, “RANWAR: Rank-Based Weighted Association Rule Mining from Gene Expression and Methylation Data”, IEEE Transactions on NanoBioscience, Vol. 14, No. 1, pp. 58-65, 2015. [Impact Factor: 2.158]

M. Mandal, A. Mukhopadhyay and U. Maulik, “Prediction of protein subcellular localization by incorporating multiobjective PSO-based feature subset selection into the general form of Chou’s PseAAC”, Medical & Biological Engineering & Computing, Vol. 53, No. 4, pp. 331-344, 2015. [Impact Factor: 1.971]

U. Maulik, S. Mallik, A. Mukhopadhyay and S. Bandyopadhyay, “Analyzing Large Gene Expression and Methylation Data Profiles using StatBicRM: Statistical Biclustering-based Rule Mining”, PLOS ONE, Vol. 10, No. 4, pid: e0119448, 2015. [Impact Factor: 2.766]

A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “A Survey of Multiobjective Evolutionary Clustering”, ACM Computing Surveys, Vol. 47, No. 4, pp. 61:1-61:46, 2015. [Impact Factor: 5.55]

M. Mandal and A. Mukhopadhyay, “A Comparative Study Among Various Statistical Tests Using Microarray Gene Expression Data”, Current Bioinformatics, Vol. 10, No. 4, pp. 377-392, 2015. [Impact Factor: 0.54]

M. Mandal, J. Mondal and A. Mukhopadhyay, “A PSO-based Approach for Pathway Marker Identification from Gene Expression Data”, IEEE Transactions of NanoBioscience, Vol. 14, No. 6, pp. 591-597, 2015. [Impact Factor: 2.158]

A. Bhar, M. Haubrock, A. Mukhopadhyay and E. Wingender, “Multiobjective Triclustering of Time-Series Transcriptome Data Reveals Key Genes of Biological Processes”, BMC Bioinformatics, Vol. 16, 2015. [Impact Factor: 2.213]

S. Bandyopadhyay, S. Ray, A. Mukhopadhyay and U. Maulik, “A Multiobjective Approach for Identifying Protein Complexes and Studying their Association in Multiple Disorders”, Algorithms for Molecular Biology, Vol. 10, No. 24, 2015. [Impact Factor: 1.536]

B. Barman, P. Biswas and A. Mukhopadhyay, “Comparison of gene regulatory networks using adaptive neural network and self-organising map approach over Huh7 hepatoma cell microarray data matrix”, International Journal of Bio-Inspired Computation, Vol. 8, No. 4, 240-247, 2016. [Impact Factor: 2.266]

B. Barman, R. Kanjilal and A. Mukhopadhyay, “Neuro-Fuzzy Controller Design to Navigate Unmanned Vehicle with Construction of Traffic Rules to Avoid Obstacles”, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 24, No. 3, pp. 433-449, 2016. [Impact Factor: 1.159]

B. Barman and A. Mukhopadhyay, “Polynomial equation models for yeast cell-cycle time series microarray data by analysing fidelity matrices of gene expression values ”, International Journal of Bioinformatics Research and Applications, Vol. 12, No. 3, pp. 194-210, 2016.

M. Mandal and A. Mukhopadhyay, “Multiobjective PSO-based rank aggregation: Application in gene ranking from microarray data”, Information Sciences, Vol. 385-386, pp. 55-75, 2017. [Impact Factor: 4.305]

S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, “Dependent Judgment Analysis: A Markov Chain based Approach for Aggregating Crowdsourced Opinions”, Information Sciences, Vol. 396, pp. 83-96, 2017.[Impact Factor: 4.305]

Sk Md M. Hossain, S. Ray and A. Mukhopadhyay, “Preservation affinity in consensus modules among stages of HIV-1 progression”, BMC Bioinformatics, Vol. 18, No. 181, 2017. [Impact Factor: 2.213]

R. K. Barman, A. Mukhopadhyay and S. Das, “An improved method for identification of small non-coding RNAs in bacteria using support vector machine”, Scientific Reports, Vol. 7, No. 46070 Nature Partner Journals (NPJ], doi: 10.1038/srep46070, 2017. [Impact Factor: 4.122]

L. Dey and A. Mukhopadhyay, “DenvInt: A Database of Protein-protein Interactions between Dengue Virus and its Hosts”, PLoS Neglected Tropical Diseases, Vol. 11, No. 10, e0005879, 2017. [Impact Factor: 4.367]

S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, “Constrained Crowd Judgment Analysis”, ACM SIGWEB Newsletter, Autumn, pp. 4:1-4:3, 2017.

S. Ray, Sk Md M. Hossain, L. Khatun and A. Mukhopadhyay, “A comprehensive analysis on preservation patterns of gene co-expression networks during Alzheimer’s disease progression”, BMC Bioinformatics, Vol. 18, No. 1, pp. 579:1-579:21, 2017. [Impact Factor: 2.213]

S. Atta, P. R. S. Mahapatra and A. Mukhopadhyay, “Solving Maximal Covering Location Problem using Genetic Algorithm with Local Refinement”, Soft Computing, Springer, Vol. 22, No. 12, pp. 3891-3906, 2018. [Impact Factor: 2.367]

S. Ray, U. Maulik and A. Mukhopadhyay, “A review of computational approaches for analysis of hepatitis C virus-mediated liver diseases”, Briefings in Functional Genomics, Vol. 17, No. 6, pp. 428-440, elx040, Oxford University Press, 2018. [Impact Factor: 3.783]

S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, “A Weighted Rank Aggregation Approach towards Crowd Opinion Analysis”, Knowledge-Based Systems, Vol. 149, No. 1, pp. 47-60, 2018 [Impact Factor: 4.396]

S. Atta, P. R. S. Mahapatra and A. Mukhopadhyay, “Solving Tool Indexing Problem using Harmony Search Algorithm with Harmony Refinement”, Soft Computing, Springer, Vol. 23, No. 16, pp. 7407-7423, 2019 [Impact Factor: 2.367]

S. Atta, P. R. S. Mahapatra and A. Mukhopadhyay, “Multi-objective Uncapacitated Facility Location Problem with Customers’ Preferences: Pareto-based and Weighted Sum GA-based Approaches”, Soft Computing, Springer, Vol. 23, No. 23, pp. 12347-12362, 2019 [Impact Factor: 2.367]

S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, “A Review of Judgment Analysis Algorithms for Crowdsourced Opinions”, IEEE Transactions on Knowledge and Data Engineering, 10.1109/TKDE.2019.2904064, 2019. [Impact Factor: 2.775]

L. Dey and A. Mukhopadhyay, “Biclustering-based Association Rule Mining Approach for Predicting Cancer-Associated Protein Interactions”, IET Systems Biology, Vol. 13, No. 5, pp. 234-242, 2019 [Impact Factor: 1.392]

L. Dey and A. Mukhopadhyay, “A Graph-Based Approach for Finding the Dengue Infection Pathways in Humans Using Protein-Protein Interactions”, Journal of Computational Biology, Vol. 26, DOI: 10.1089/cmb.2019.0171, 2019 [Impact factor: 1.191]

R. Barman, A. Mukhopadhyay, U. Maulik and S. Das “Identification of Infectious Disease-Associated Host Genes using Machine Learning Techniques”, BMC Bioinformatics, Vol. 20, No. 736, doi: 10.1186/s12859-019-3317-0, 2019 [Impact factor: 2.511]

L. Dey, S. Chakraborty and A. Mukhopadhyay, "Machine learning techniques for sequence-based prediction of viral–host interactions between SARS-CoV-2 and human proteins”, Biomedical Journal, Vol. 43, No. 438-450, Elsevier, 2020 [Impact Factor: 3.697]

P. Biswas and A. Mukhopadhyay, "Identifying Cancer-Associated Modules from MicroRNA Co-expression Networks: A Multiobjective Evolutionary Approach”, Soft Computing, Vol. 24, pp. 17365-17376, Springer, 2021 [Impact Factor: 3.050]

S. Kundu, U. Maulik and A. Mukhopadhyay, "A game theory-based approach to fuzzy clustering for pixel classification in remote sensing imagery", Soft Computing, Springer, 2021 (in press) [Impact Factor: 3.050]

L. Dey and A. Mukhopadhyay, "A systems biology approach for identifying key genes and pathways of gastric cancer using microarray data", Gene Reports, Vol. 22 (101011), Elsevier, 2021.

L. Dey and A. Mukhopadhyay, "Compact Genetic Algorithm-based Feature Selection for Sequence-based Prediction of Dengue-Human Protein Interactions", IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021 (in press). [Impact Factor: 3.015]

Sk. Md. M. Hossain, A. A. Halsana, L. Khatun, S. Ray and A. Mukhopadhyay, "Discovering Key Transcriptomic Regulators in Pancreatic Ductal Adenocarcinoma using Dirichlet Process Gaussian Mixture Model", Scientific Reports, Nature Partner Journals, 2021 (in press). [Impact Factor: 3.998]

R. K. Barman, A. Mukhopadhyay, U. Maulik and S. Das, “Identification of Critical Host Targets for HCV Infection: A Systems Biology Approach”, Transactions of INAE, Springer, 2021 (in press).

Sk. Md. M. Hossain, L. Khatun, S. Ray and A. Mukhopadhyay, “Identification of key immune regulatory genes in HIV-1 progression”, Gene, Elsevier, Vol. 792 (145735), 2021. [Scopus, SCI, Impact Factor: 2.984]

S. Chatterjee, D. Chakrabarty and A. Mukhopadhyay, “Fuzzy association analysis for identifying climatic and socio-demographic factors impacting the spread of COVID-19”, Methods, Elsevier, 2021 (in press). [Scopus, Impact Factor: 3.608]

A. S. Mondal, A. Mukhopadhyay, and S. Chattopadhyay, “Machine learning-driven automatic storage space recommendation for object-based cloud storage system”, Complex & Intelligent Systems, Springer, (in press). [SCIE, Impact Factor: 4.927]

R. Debnath, S. Das, A. Mukhopadhyay, and T. Saha, “Enrichment of laccase production by Phomaherbarum isolate KU4 under solid-state fermentation by optimizing RSM coefficients using genetic algorithm”, Letters in Applied Microbiology, Vol. 73, No. 4, pp. 515-528, Wiley, 2021. [SCI, Impact Factor: 2.858]

S. Atta, P. R. S. Mahapatra, and A. Mukhopadhyay, “A multi-objective formulation of maximal covering location problem with customers’ preferences: Exploring Pareto optimality-based solutions”, Expert Systems with Applications, Vol. 186, p.115830, Elsevier, 2021. [SCIE, Scopus, Impact Factor: 6.954]