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Journals (published/accepted)
  • S. Saha, A. Ekbal, K. Gupta, and S. Bandyopadhyay, "Gene Expression Data Clustering Using a Multiobjective Symmetry Based Clustering Technique", Computers in Biology and Medicine, vol. 43, no. 11, pp. 1965-197, 2013.
  • A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay, "An Interactive Approach to Multiobjective Clustering of Gene Expression Patterns", IEEE Transactions on Biomedical Engineering, vol. 60, no. 1, pp. 35-41, 2013.
  • M. Bhattacharyya, M. Das and S. Bandyopadhyay, "A New Approach for Combining Knowledge from Multiple Co-expression Networks of MicroRNAs", IEEE Transactions on Biomed- ical Engineering, vol. 60, no. 8, pp. 2167-2173, 2013.
  • S. Saha and S. Bandyopadhyay, "A Generalized Automatic Clustering Algorithm in a Multiobjective Framework", Applied Soft Computing, vol. 13, no. 1, pp. 89-108, 2013.
  • D. Sengupta and S. Bandyopadhyay, "Topological patterns in microRNA-Gene regulatory network: Studies in colorectal and breast cancer", Molecular BioSystems (Royal Society of Chemistry, UK), vol. 9, no. 6, pp. 1360-71, 2013.
  • M. Bhattacharyya and S. Bandyopadhyay, "Studying the di erential co-expression of microRNAs reveals signi cant role of white matter in early Alzheimer's progression", Molecular BioSystems, Royal Society of Chemistry, vol. 9, no. 3, pp. 457 - 466, 2013.
  • A. Chakraborty and S. Bandyopadhyay, "FOGSAA: Fast Optimal Global Sequence Alignment Algorithm", Scienti c Reports (Nature Publishing Group), vol. 3, no. 1746, doi: 10.1038/srep01746, 2013.
  • M. Bhattacharyya, M. Das and S. Bandyopadhyay, "miRT: A Database of Transcription Start Sites of Human MicroRNAs", Genomics, Proteomics and Bioinformatics, vol. 10, no. 5, pp. 310-316, doi: 10.1016/j.gpb.2012.08.005, 2012.
  • 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.
  • D. Sengupta, U. Maulik and S. Bandyopadhyay, "Weighted Markov Chain Based Aggregation of Bio-molecule Orderings", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 9, no. 3, pp. 924-933, 2012.
  • I. Saha, U. Maulik, S. Bandyopadhyay and D. Plewczynski, "Fuzzy Clustering of Physicochemical and Biochemical Properties of Amino Acids", Amino Acids, Springer, vol. 43, no. 2, pp. 583-594, 2012.
  • S. S. Ray, S. Bandyopadhyay and S. K. Pal, "A Weighted Power Framework for Integrating Multi-Source Information: Gene Function Prediction in Yeast", IEEE Transactions on Biomedical Engineering, vol. 59, no. 4, pp. 1162-1168, 2012.
  • M. Bhattacharyya and S. Bandyopadhyay, "In Silico Identi cation of OncomiRs in Di erent Cancer Types", Journal of The Institution of Engineers (India): Series B, vol. 93, no. 1, pp. 15-23, 2012, DOI: 10.1007/s40031-012-0003-2. (Invited paper)
  • A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay, "A Novel Biclustering Approach to Association Rule Mining for Predicting HIV-1-Human Protein Interactions", PLoS ONE, vol. 7, no. 4, doi:10.1371/journal. pone.0032289, 2012.
  • S. Sengupta and S. Bandyopadhyay, "De novo Design of Potential RecA Inhibitors using Multiobjective Optimization", IEEE/ACM Transactions on Computational Biology and Bioin- formatics, vol. 9, no.4, pp. 1139-1154, 2012.
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