Vannucci M - Search Results

1

A Bayesian joint model for compositional mediation effect selection in microbiome data.

Fu J, Koslovsky MD, Neophytou AM, Vannucci M. Fu J, et al. Among authors: vannucci m. Stat Med. 2023 Jul 30;42(17):2999-3015. doi: 10.1002/sim.9764. Epub 2023 May 12. Stat Med. 2023. PMID: 37173609

2

Identification of DNA regulatory motifs using Bayesian variable selection.

Tadesse MG, Vannucci M, Liò P. Tadesse MG, et al. Among authors: vannucci m. Bioinformatics. 2004 Nov 1;20(16):2553-61. doi: 10.1093/bioinformatics/bth282. Epub 2004 Apr 29. Bioinformatics. 2004. PMID: 15117754

3

Investigating the evolution and structure of chemokine receptors.

Liò P, Vannucci M. Liò P, et al. Among authors: vannucci m. Gene. 2003 Oct 23;317(1-2):29-37. doi: 10.1016/s0378-1119(03)00666-8. Gene. 2003. PMID: 14604789

4

Making sense of molecular signatures in the immune system.

Davies NJ, Tadesse MG, Vannucci M, Kikuchi H, Trevino V, Sarti D, Dragoni I, Contestabile A, Zanders E, Falciani F. Davies NJ, et al. Among authors: vannucci m. Comb Chem High Throughput Screen. 2004 May;7(3):231-8. doi: 10.2174/1386207043328805. Comb Chem High Throughput Screen. 2004. PMID: 15134529 Review.

5

INCORPORATING BIOLOGICAL INFORMATION INTO LINEAR MODELS: A BAYESIAN APPROACH TO THE SELECTION OF PATHWAYS AND GENES.

Stingo FC, Chen YA, Tadesse MG, Vannucci M. Stingo FC, et al. Among authors: vannucci m. Ann Appl Stat. 2011 Sep 1;5(3):1978-2002. doi: 10.1214/11-AOAS463. Ann Appl Stat. 2011. PMID: 23667412 Free PMC article.

6

Bayesian Models for fMRI Data Analysis.

Zhang L, Guindani M, Vannucci M. Zhang L, et al. Among authors: vannucci m. Wiley Interdiscip Rev Comput Stat. 2015 Jan-Feb;7(1):21-41. doi: 10.1002/wics.1339. Wiley Interdiscip Rev Comput Stat. 2015. PMID: 25750690 Free PMC article.

7

Joint Bayesian variable and graph selection for regression models with network-structured predictors.

Peterson CB, Stingo FC, Vannucci M. Peterson CB, et al. Among authors: vannucci m. Stat Med. 2016 Mar 30;35(7):1017-31. doi: 10.1002/sim.6792. Epub 2015 Oct 29. Stat Med. 2016. PMID: 26514925 Free PMC article.

8

MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package.

Koslovsky MD, Vannucci M. Koslovsky MD, et al. Among authors: vannucci m. BMC Bioinformatics. 2020 Jul 13;21(1):301. doi: 10.1186/s12859-020-03640-0. BMC Bioinformatics. 2020. PMID: 32660471 Free PMC article.

9

Correction to: MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package.

Koslovsky MD, Vannucci M. Koslovsky MD, et al. Among authors: vannucci m. BMC Bioinformatics. 2020 Dec 28;21(1):585. doi: 10.1186/s12859-020-03912-9. BMC Bioinformatics. 2020. PMID: 33371869 Free PMC article. No abstract available.

10

Bayesian continuous-time hidden Markov models with covariate selection for intensive longitudinal data with measurement error.

Liang M, Koslovsky MD, Hébert ET, Kendzor DE, Businelle MS, Vannucci M. Liang M, et al. Among authors: vannucci m. Psychol Methods. 2023 Aug;28(4):880-894. doi: 10.1037/met0000433. Epub 2021 Dec 20. Psychol Methods. 2023. PMID: 34928674 Clinical Trial.

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