Maulik U - Search Results

1

Identifying differentially coexpressed module during HIV disease progression: A multiobjective approach.

Ray S, Maulik U. Ray S, et al. Among authors: maulik u. Sci Rep. 2017 Mar 7;7(1):86. doi: 10.1038/s41598-017-00090-2. Sci Rep. 2017. PMID: 28273892 Free PMC article.

2

Combining Pareto-optimal clusters using supervised learning for identifying co-expressed genes.

Maulik U, Mukhopadhyay A, Bandyopadhyay S. Maulik U, et al. BMC Bioinformatics. 2009 Jan 20;10:27. doi: 10.1186/1471-2105-10-27. BMC Bioinformatics. 2009. PMID: 19154590 Free PMC article.

3

Finding multiple coherent biclusters in microarray data using variable string length multiobjective genetic algorithm.

Maulik U, Mukhopadhyay A, Bandyopadhyay S. Maulik U, et al. IEEE Trans Inf Technol Biomed. 2009 Nov;13(6):969-75. doi: 10.1109/TITB.2009.2017527. Epub 2009 Mar 16. IEEE Trans Inf Technol Biomed. 2009. PMID: 19304489

4

Identifying the immunodeficiency gateway proteins in humans and their involvement in microRNA regulation.

Maulik U, Bhattacharyya M, Mukhopadhyay A, Bandyopadhyay S. Maulik U, et al. Mol Biosyst. 2011 Jun;7(6):1842-51. doi: 10.1039/c1mb05026e. Epub 2011 Mar 24. Mol Biosyst. 2011. PMID: 21437347

5

Gene expression data analysis using multiobjective clustering improved with SVM based ensemble.

Mukhopadhyay A, Maulik U, Bandyopadhyay S. Mukhopadhyay A, et al. Among authors: maulik u. In Silico Biol. 2011-2012;11(1-2):19-27. doi: 10.3233/ISB-2012-0441. In Silico Biol. 2011. PMID: 22475749

6

An interactive approach to multiobjective clustering of gene expression patterns.

Mukhopadhyay A, Maulik U, Bandyopadhyay S. Mukhopadhyay A, et al. Among authors: maulik u. IEEE Trans Biomed Eng. 2013 Jan;60(1):35-41. doi: 10.1109/TBME.2012.2220765. Epub 2012 Sep 28. IEEE Trans Biomed Eng. 2013. PMID: 23033427

7

Mining quasi-bicliques from HIV-1-human protein interaction network: a multiobjective biclustering approach.

Maulik U, Mukhopadhyay A, Bhattacharyya M, Kaderali L, Brors B, Bandyopadhyay S, Eils R. Maulik U, et al. IEEE/ACM Trans Comput Biol Bioinform. 2013 Mar-Apr;10(2):423-35. doi: 10.1109/TCBB.2012.139. IEEE/ACM Trans Comput Biol Bioinform. 2013. PMID: 23929866

8

Incorporating the type and direction information in predicting novel regulatory interactions between HIV-1 and human proteins using a biclustering approach.

Mukhopadhyay A, Ray S, Maulik U. Mukhopadhyay A, et al. Among authors: maulik u. BMC Bioinformatics. 2014 Jan 24;15:26. doi: 10.1186/1471-2105-15-26. BMC Bioinformatics. 2014. PMID: 24460683 Free PMC article.

9

A review of in silico approaches for analysis and prediction of HIV-1-human protein-protein interactions.

Bandyopadhyay S, Ray S, Mukhopadhyay A, Maulik U. Bandyopadhyay S, et al. Among authors: maulik u. Brief Bioinform. 2015 Sep;16(5):830-51. doi: 10.1093/bib/bbu041. Epub 2014 Dec 5. Brief Bioinform. 2015. PMID: 25479794 Review.

10

Analyzing large gene expression and methylation data profiles using StatBicRM: statistical biclustering-based rule mining.

Maulik U, Mallik S, Mukhopadhyay A, Bandyopadhyay S. Maulik U, et al. PLoS One. 2015 Apr 1;10(4):e0119448. doi: 10.1371/journal.pone.0119448. eCollection 2015. PLoS One. 2015. PMID: 25830807 Free PMC article.

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