Girolami M - Search Results

1

Automated, high accuracy classification of Parkinsonian disorders: a pattern recognition approach.

Marquand AF, Filippone M, Ashburner J, Girolami M, Mourao-Miranda J, Barker GJ, Williams SC, Leigh PN, Blain CR. Marquand AF, et al. Among authors: girolami m. PLoS One. 2013 Jul 15;8(7):e69237. doi: 10.1371/journal.pone.0069237. Print 2013. PLoS One. 2013. PMID: 23869237 Free PMC article.

2

PROBABILISTIC PREDICTION OF NEUROLOGICAL DISORDERS WITH A STATISTICAL ASSESSMENT OF NEUROIMAGING DATA MODALITIES.

Filippone M, Marquand AF, Blain CR, Williams SC, Mourão-Miranda J, Girolami M. Filippone M, et al. Among authors: girolami m. Ann Appl Stat. 2012 Dec 27;6(4):1883-1905. doi: 10.1214/12-aoas562. Ann Appl Stat. 2012. PMID: 24523851 Free PMC article.

3

Pseudo-Marginal Bayesian Inference for Gaussian Processes.

Filippone M, Girolami M. Filippone M, et al. Among authors: girolami m. IEEE Trans Pattern Anal Mach Intell. 2014 Nov;36(11):2214-26. doi: 10.1109/TPAMI.2014.2316530. IEEE Trans Pattern Anal Mach Intell. 2014. PMID: 26353062

4

Decoding post-stroke motor function from structural brain imaging.

Rondina JM, Filippone M, Girolami M, Ward NS. Rondina JM, et al. Among authors: girolami m. Neuroimage Clin. 2016 Aug 2;12:372-80. doi: 10.1016/j.nicl.2016.07.014. eCollection 2016. Neuroimage Clin. 2016. PMID: 27595065 Free PMC article.

5

Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection.

Damoulas T, Girolami MA. Damoulas T, et al. Bioinformatics. 2008 May 15;24(10):1264-70. doi: 10.1093/bioinformatics/btn112. Epub 2008 Mar 31. Bioinformatics. 2008. PMID: 18378524

6

Bayesian approaches for mechanistic ion channel modeling.

Calderhead B, Epstein M, Sivilotti L, Girolami M. Calderhead B, et al. Among authors: girolami m. Methods Mol Biol. 2013;1021:247-72. doi: 10.1007/978-1-62703-450-0_13. Methods Mol Biol. 2013. PMID: 23715989

7

Geodesic Monte Carlo on Embedded Manifolds.

Byrne S, Girolami M. Byrne S, et al. Among authors: girolami m. Scand Stat Theory Appl. 2013 Dec;40(4):825-845. doi: 10.1111/sjos.12036. Epub 2013 Sep 13. Scand Stat Theory Appl. 2013. PMID: 25309024 Free PMC article.

8

Biologically valid linear factor models of gene expression.

Girolami M, Breitling R. Girolami M, et al. Bioinformatics. 2004 Nov 22;20(17):3021-33. doi: 10.1093/bioinformatics/bth354. Epub 2004 Jun 16. Bioinformatics. 2004. PMID: 15201181

9

A Bayesian regression approach to the inference of regulatory networks from gene expression data.

Rogers S, Girolami M. Rogers S, et al. Among authors: girolami m. Bioinformatics. 2005 Jul 15;21(14):3131-7. doi: 10.1093/bioinformatics/bti487. Epub 2005 May 6. Bioinformatics. 2005. PMID: 15879452

10

The latent process decomposition of cDNA microarray data sets.

Rogers S, Girolami M, Campbell C, Breitling R. Rogers S, et al. Among authors: girolami m. IEEE/ACM Trans Comput Biol Bioinform. 2005 Apr-Jun;2(2):143-56. doi: 10.1109/TCBB.2005.29. IEEE/ACM Trans Comput Biol Bioinform. 2005. PMID: 17044179

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