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Page 1
Semisupervised learning for molecular profiling.
Furlanello C, Serafini M, Merler S, Jurman G. Furlanello C, et al. Among authors: jurman g. IEEE/ACM Trans Comput Biol Bioinform. 2005 Apr-Jun;2(2):110-8. doi: 10.1109/TCBB.2005.28. IEEE/ACM Trans Comput Biol Bioinform. 2005. PMID: 17044176
A grid environment for high-throughput proteomics.
Cannataro M, Barla A, Flor R, Jurman G, Merler S, Paoli S, Tradigo G, Veltri P, Furlanello C. Cannataro M, et al. Among authors: jurman g. IEEE Trans Nanobioscience. 2007 Jun;6(2):117-23. doi: 10.1109/tnb.2007.897495. IEEE Trans Nanobioscience. 2007. PMID: 17695745
Machine learning methods for predictive proteomics.
Barla A, Jurman G, Riccadonna S, Merler S, Chierici M, Furlanello C. Barla A, et al. Among authors: jurman g. Brief Bioinform. 2008 Mar;9(2):119-28. doi: 10.1093/bib/bbn008. Epub 2008 Feb 29. Brief Bioinform. 2008. PMID: 18310105 Review.
Repeatability of published microarray gene expression analyses.
Ioannidis JP, Allison DB, Ball CA, Coulibaly I, Cui X, Culhane AC, Falchi M, Furlanello C, Game L, Jurman G, Mangion J, Mehta T, Nitzberg M, Page GP, Petretto E, van Noort V. Ioannidis JP, et al. Among authors: jurman g. Nat Genet. 2009 Feb;41(2):149-55. doi: 10.1038/ng.295. Epub 2008 Jan 28. Nat Genet. 2009. PMID: 19174838
Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes.
Shi W, Bessarabova M, Dosymbekov D, Dezso Z, Nikolskaya T, Dudoladova M, Serebryiskaya T, Bugrim A, Guryanov A, Brennan RJ, Shah R, Dopazo J, Chen M, Deng Y, Shi T, Jurman G, Furlanello C, Thomas RS, Corton JC, Tong W, Shi L, Nikolsky Y. Shi W, et al. Among authors: jurman g. Pharmacogenomics J. 2010 Aug;10(4):310-23. doi: 10.1038/tpj.2010.35. Pharmacogenomics J. 2010. PMID: 20676069 Free PMC article.
82 results