Bellazzi R - Search Results

1

Novel genetic susceptibility loci for diabetic end-stage renal disease identified through robust naive Bayes classification.

Sambo F, Malovini A, Sandholm N, Stavarachi M, Forsblom C, Mäkinen VP, Harjutsalo V, Lithovius R, Gordin D, Parkkonen M, Saraheimo M, Thorn LM, Tolonen N, Wadén J, He B, Osterholm AM, Tuomilehto J, Lajer M, Salem RM, McKnight AJ; GENIE Consortium; Tarnow L, Panduru NM, Barbarini N, Di Camillo B, Toffolo GM, Tryggvason K, Bellazzi R, Cobelli C; FinnDiane Study Group; Groop PH. Sambo F, et al. Among authors: bellazzi r. Diabetologia. 2014 Aug;57(8):1611-22. doi: 10.1007/s00125-014-3256-2. Epub 2014 May 29. Diabetologia. 2014. PMID: 24871321

2

Minimal model S(I)=0 problem in NIDDM subjects: nonzero Bayesian estimates with credible confidence intervals.

Pillonetto G, Sparacino G, Magni P, Bellazzi R, Cobelli C. Pillonetto G, et al. Among authors: bellazzi r. Am J Physiol Endocrinol Metab. 2002 Mar;282(3):E564-73. doi: 10.1152/ajpendo.00576.2000. Am J Physiol Endocrinol Metab. 2002. PMID: 11832358 Free article.

3

Insulin minimal model indexes and secretion: proper handling of uncertainty by a Bayesian approach.

Magni P, Sparacino G, Bellazzi R, Toffolo GM, Cobelli C. Magni P, et al. Among authors: bellazzi r. Ann Biomed Eng. 2004 Jul;32(7):1027-37. doi: 10.1023/b:abme.0000032465.75888.91. Ann Biomed Eng. 2004. PMID: 15298440

4

Reduced sampling schedule for the glucose minimal model: importance of Bayesian estimation.

Magni P, Sparacino G, Bellazzi R, Cobelli C. Magni P, et al. Among authors: bellazzi r. Am J Physiol Endocrinol Metab. 2006 Jan;290(1):E177-E184. doi: 10.1152/ajpendo.00241.2003. Epub 2005 Sep 6. Am J Physiol Endocrinol Metab. 2006. PMID: 16144816 Free article.

5

Phenotype forecasting with SNPs data through gene-based Bayesian networks.

Malovini A, Nuzzo A, Ferrazzi F, Puca AA, Bellazzi R. Malovini A, et al. Among authors: bellazzi r. BMC Bioinformatics. 2009 Feb 5;10 Suppl 2(Suppl 2):S7. doi: 10.1186/1471-2105-10-S2-S7. BMC Bioinformatics. 2009. PMID: 19208195 Free PMC article.

6

Development of a novel bioinformatics tool for in silico validation of protein interactions.

Barbarini N, Simonelli L, Azzalin A, Comincini S, Bellazzi R. Barbarini N, et al. Among authors: bellazzi r. J Biomed Biotechnol. 2010;2010:670125. doi: 10.1155/2010/670125. Epub 2010 Jun 7. J Biomed Biotechnol. 2010. PMID: 20625507 Free PMC article.

7

Multi-criteria decision making approaches for quality control of genome-wide association studies.

Malovini A, Rognoni C, Puca A, Bellazzi R. Malovini A, et al. Among authors: bellazzi r. Summit Transl Bioinform. 2009 Mar 1;2009:74-8. Summit Transl Bioinform. 2009. PMID: 21347174 Free PMC article.

8

Prediction of peptide reactivity with human IVIg through a knowledge-based approach.

Barbarini N, Tiengo A, Bellazzi R. Barbarini N, et al. Among authors: bellazzi r. PLoS One. 2011;6(8):e23616. doi: 10.1371/journal.pone.0023616. Epub 2011 Aug 24. PLoS One. 2011. PMID: 21887285 Free PMC article.

9

Stochastic model search with binary outcomes for genome-wide association studies.

Russu A, Malovini A, Puca AA, Bellazzi R. Russu A, et al. Among authors: bellazzi r. J Am Med Inform Assoc. 2012 Jun;19(e1):e13-20. doi: 10.1136/amiajnl-2011-000741. Epub 2012 Apr 25. J Am Med Inform Assoc. 2012. PMID: 22534080 Free PMC article.

10

Hierarchical Naive Bayes for genetic association studies.

Malovini A, Barbarini N, Bellazzi R, de Michelis F. Malovini A, et al. Among authors: bellazzi r. BMC Bioinformatics. 2012;13 Suppl 14(Suppl 14):S6. doi: 10.1186/1471-2105-13-S14-S6. Epub 2012 Sep 7. BMC Bioinformatics. 2012. PMID: 23095471 Free PMC article.

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