Valentini G - Search Results

1

Regeneration-associated WNT signaling is activated in long-term reconstituting AC133bright acute myeloid leukemia cells.

Beghini A, Corlazzoli F, Del Giacco L, Re M, Lazzaroni F, Brioschi M, Valentini G, Ferrazzi F, Ghilardi A, Righi M, Turrini M, Mignardi M, Cesana C, Bronte V, Nilsson M, Morra E, Cairoli R. Beghini A, et al. Among authors: valentini g. Neoplasia. 2012 Dec;14(12):1236-48. doi: 10.1593/neo.121480. Neoplasia. 2012. PMID: 23308055 Free PMC article.

2

Noise tolerance of multiple classifier systems in data integration-based gene function prediction.

Rè M, Valentini G. Rè M, et al. Among authors: valentini g. J Integr Bioinform. 2010 Mar 25;7(3). doi: 10.2390/biecoll-jib-2010-139. J Integr Bioinform. 2010. PMID: 20375460

3

Cancer module genes ranking using kernelized score functions.

Re M, Valentini G. Re M, et al. Among authors: valentini g. BMC Bioinformatics. 2012;13 Suppl 14(Suppl 14):S3. doi: 10.1186/1471-2105-13-S14-S3. Epub 2012 Sep 7. BMC Bioinformatics. 2012. PMID: 23095178 Free PMC article.

4

A fast ranking algorithm for predicting gene functions in biomolecular networks.

Re M, Mesiti M, Valentini G. Re M, et al. Among authors: valentini g. IEEE/ACM Trans Comput Biol Bioinform. 2012 Nov-Dec;9(6):1812-8. doi: 10.1109/TCBB.2012.114. IEEE/ACM Trans Comput Biol Bioinform. 2012. PMID: 23221088 Free article.

5

A neural network algorithm for semi-supervised node label learning from unbalanced data.

Frasca M, Bertoni A, Re M, Valentini G. Frasca M, et al. Among authors: valentini g. Neural Netw. 2013 Jul;43:84-98. doi: 10.1016/j.neunet.2013.01.021. Epub 2013 Feb 6. Neural Netw. 2013. PMID: 23500503 Free article.

6

Network-based drug ranking and repositioning with respect to DrugBank therapeutic categories.

Re M, Valentini G. Re M, et al. Among authors: valentini g. IEEE/ACM Trans Comput Biol Bioinform. 2013 Nov-Dec;10(6):1359-71. doi: 10.1109/TCBB.2013.62. IEEE/ACM Trans Comput Biol Bioinform. 2013. PMID: 24407295 Free article.

7

An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods.

Valentini G, Paccanaro A, Caniza H, Romero AE, Re M. Valentini G, et al. Artif Intell Med. 2014 Jun;61(2):63-78. doi: 10.1016/j.artmed.2014.03.003. Epub 2014 Mar 20. Artif Intell Med. 2014. PMID: 24726035 Free PMC article.

8

Think globally and solve locally: secondary memory-based network learning for automated multi-species function prediction.

Mesiti M, Re M, Valentini G. Mesiti M, et al. Among authors: valentini g. Gigascience. 2014 Apr 23;3:5. doi: 10.1186/2047-217X-3-5. eCollection 2014. Gigascience. 2014. PMID: 24843788 Free PMC article.

9

Imbalance-Aware Machine Learning for Predicting Rare and Common Disease-Associated Non-Coding Variants.

Schubach M, Re M, Robinson PN, Valentini G. Schubach M, et al. Among authors: valentini g. Sci Rep. 2017 Jun 7;7(1):2959. doi: 10.1038/s41598-017-03011-5. Sci Rep. 2017. PMID: 28592878 Free PMC article.

10

parSMURF, a high-performance computing tool for the genome-wide detection of pathogenic variants.

Petrini A, Mesiti M, Schubach M, Frasca M, Danis D, Re M, Grossi G, Cappelletti L, Castrignanò T, Robinson PN, Valentini G. Petrini A, et al. Among authors: valentini g. Gigascience. 2020 May 1;9(5):giaa052. doi: 10.1093/gigascience/giaa052. Gigascience. 2020. PMID: 32444882 Free PMC article.

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