Bansal M - Search Results

1

Linear matrix inequalities approach to reconstruction of biological networks.

Cosentino C, Curatola W, Montefusco F, Bansal M, di Bernardo D, Amato F. Cosentino C, et al. Among authors: bansal m. IET Syst Biol. 2007 May;1(3):164-73. doi: 10.1049/iet-syb:20060054. IET Syst Biol. 2007. PMID: 17591175 Free article.

2

Inference of gene networks from temporal gene expression profiles.

Bansal M, di Bernardo D. Bansal M, et al. IET Syst Biol. 2007 Sep;1(5):306-12. doi: 10.1049/iet-syb:20060079. IET Syst Biol. 2007. PMID: 17907680 Free article.

3

How to infer gene networks from expression profiles.

Bansal M, Belcastro V, Ambesi-Impiombato A, di Bernardo D. Bansal M, et al. Mol Syst Biol. 2007;3:78. doi: 10.1038/msb4100120. Epub 2007 Feb 13. Mol Syst Biol. 2007. PMID: 17299415 Free PMC article.

4

Identification of quadratic nonlinear models oriented to genetic network analysis.

Amato F, Bansal M, Cosentino C, Curatola W, Di Bernardo D. Amato F, et al. Among authors: bansal m. Conf Proc IEEE Eng Med Biol Soc. 2005;2005:5615-8. doi: 10.1109/IEMBS.2005.1615759. Conf Proc IEEE Eng Med Biol Soc. 2005. PMID: 17281529

5

Inference of gene regulatory networks and compound mode of action from time course gene expression profiles.

Bansal M, Della Gatta G, di Bernardo D. Bansal M, et al. Bioinformatics. 2006 Apr 1;22(7):815-22. doi: 10.1093/bioinformatics/btl003. Epub 2006 Jan 17. Bioinformatics. 2006. PMID: 16418235 Free article.

6

Computational framework for the prediction of transcription factor binding sites by multiple data integration.

Ambesi-Impiombato A, Bansal M, Liò P, di Bernardo D. Ambesi-Impiombato A, et al. Among authors: bansal m. BMC Neurosci. 2006 Oct 30;7 Suppl 1(Suppl 1):S8. doi: 10.1186/1471-2202-7-S1-S8. BMC Neurosci. 2006. PMID: 17118162 Free PMC article. Review.

7

Direct targets of the TRP63 transcription factor revealed by a combination of gene expression profiling and reverse engineering.

Della Gatta G, Bansal M, Ambesi-Impiombato A, Antonini D, Missero C, di Bernardo D. Della Gatta G, et al. Among authors: bansal m. Genome Res. 2008 Jun;18(6):939-48. doi: 10.1101/gr.073601.107. Epub 2008 Apr 25. Genome Res. 2008. PMID: 18441228 Free PMC article.

8

A yeast synthetic network for in vivo assessment of reverse-engineering and modeling approaches.

Cantone I, Marucci L, Iorio F, Ricci MA, Belcastro V, Bansal M, Santini S, di Bernardo M, di Bernardo D, Cosma MP. Cantone I, et al. Among authors: bansal m. Cell. 2009 Apr 3;137(1):172-81. doi: 10.1016/j.cell.2009.01.055. Epub 2009 Mar 26. Cell. 2009. PMID: 19327819 Free article.

9

A reverse-engineering approach to dissect post-translational modulators of transcription factor's activity from transcriptional data.

Gambardella G, Peluso I, Montefusco S, Bansal M, Medina DL, Lawrence N, di Bernardo D. Gambardella G, et al. Among authors: bansal m. BMC Bioinformatics. 2015 Sep 3;16:279. doi: 10.1186/s12859-015-0700-3. BMC Bioinformatics. 2015. PMID: 26334955 Free PMC article.

10

Discovering drug mode of action using reverse-engineered gene networks.

Bansal M, Della Gatta G, Wierzbowski J, Gardner T, di Bernardo D. Bansal M, et al. Conf Proc IEEE Eng Med Biol Soc. 2005;2005:4739-42. doi: 10.1109/IEMBS.2005.1615530. Conf Proc IEEE Eng Med Biol Soc. 2005. PMID: 17281300

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