Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Gianmaria Mancosu"'
Autor:
Antonio Barracca, Stefano Ledda, Gianmaria Mancosu, Walter Melis, Maria Rosa Rinaldi, Patrizia Francesca Patricelli
Publikováno v:
Giornale di Clinica Nefrologia e Dialisi, Vol 29, Iss 3 (2017)
Abstract non disponibile (Clinical_Management)
Externí odkaz:
https://doaj.org/article/c0b2d5b8f2ec46b59d2154467cf63e39
Autor:
Antonio Barracca, Stefano Ledda, Gianmaria Mancosu, Giovanni Pintore, Giuseppe Quintaliani, Claudio Ronco, Kianoush B. Kashani
Publikováno v:
Journal of Translational Critical Care Medicine. 5
Autor:
Mauro Contini, Antonio Barracca, Stefano Ledda, Giovanni Pintore, Kianoush Kashani, Gianmaria Mancosu, Claudio Ronco
Publikováno v:
Journal of Translational Critical Care Medicine. 2:78-82
Artificial intelligence provides a vast opportunity and conquest of the science of knowledge. Twenty-first-century medicine will be characterized by an extraordinary ability to access and process medical information to provide patient-specific, timel
Autor:
Walter Melis, Stefano Ledda, Antonio Barracca, Gianmaria Mancosu, Maria Rosa Rinaldi, Patrizia Francesca Patricelli
Publikováno v:
Giornale di Tecniche Nefrologiche e Dialitiche. 29:203-206
The digital revolution, computer science and artificial intelligence are pervading all aspects of our lives. The world of health is no exception, starting with the digitization of images, through t...
Autor:
Giorgio Fotia, Wieslawa I. Mentzen, Gianmaria Mancosu, Fabio Maggio, Enrico Pieroni, Alan Scheinine, Alberto de la Fuente
Publikováno v:
Annals of the New York Academy of Sciences. 1158:287-301
We describe several algorithms with winning performance in the Dialogue for Reverse Engineering Assessments and Methods (DREAM2) Reverse Engineering Competition 2007. After the gold standards for the challenges were released, the performance of the a
Autor:
Enrico Capobianco, Enrico Pieroni, Gianmaria Mancosu, Heribert Hirt, Sergio de la Fuente van Bentem, Alberto de la Fuente
Publikováno v:
Proteomics. 8(4)
The formulation of network models from global protein studies is essential to understand the functioning of organisms. Network models of the proteome enable the application of Complex Network Analysis, a quantitative framework to investigate large co
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540290414
AI*IA
AI*IA
In this paper, we illustrate an application aimed at predicting protein secondary structure. The proposed system has been devised using PACMAS, a generic architecture designed to support the implementation of applications explicitly tailored for info
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a3d0e8f00a3ee9bdbbf1eca3cb1532e
https://doi.org/10.1007/11558590_59
https://doi.org/10.1007/11558590_59
Autor:
Giuseppe Ledda, Mauro Adamo, Gianmaria Mancosu, Teresa Manias, Paola Maria Melis, Mario Pirastu, Francesca Marras, Cesare Cappio Borlino, Donatella Serra, Massimiliano Cosso
Publikováno v:
BMC bioinformatics 6 (2005): 1–5. doi:10.1186/1471-2105-6-S4-S17
info:cnr-pdr/source/autori:Mancosu G, Cosso M, Marras F, Borlino CC, Ledda G, Manias T, Adamo M, Serra D, Melis P, Pirastu M/titolo:Browsing isolated population data./doi:10.1186%2F1471-2105-6-S4-S17/rivista:BMC bioinformatics/anno:2005/pagina_da:1/pagina_a:5/intervallo_pagine:1–5/volume:6
BMC Bioinformatics
BMC Bioinformatics, Vol 6, Iss Suppl 4, p S17 (2005)
info:cnr-pdr/source/autori:Mancosu G, Cosso M, Marras F, Borlino CC, Ledda G, Manias T, Adamo M, Serra D, Melis P, Pirastu M/titolo:Browsing isolated population data./doi:10.1186%2F1471-2105-6-S4-S17/rivista:BMC bioinformatics/anno:2005/pagina_da:1/pagina_a:5/intervallo_pagine:1–5/volume:6
BMC Bioinformatics
BMC Bioinformatics, Vol 6, Iss Suppl 4, p S17 (2005)
Background In our studies of genetically isolated populations in a remote mountain area in the center of Sardinia (Italy), we found that 80–85% of the inhabitants of each village belong to a single huge pedigree with families strictly connected to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53a74ef3519303673ac962297b7da639
http://www.cnr.it/prodotto/i/26344
http://www.cnr.it/prodotto/i/26344
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540308836
Trans. Computational Systems Biology
Trans. Computational Systems Biology
In this paper, we illustrate a system aimed at predicting protein secondary structures. Our proposal falls in the category of multiple experts, a machine learning technique that –under the assumption of absent or negative correlation in experts' er
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f49c15529bfd40dfb02c0a368167e119
https://doi.org/10.1007/11599128_2
https://doi.org/10.1007/11599128_2
Publikováno v:
Bioinformatics. 19:669-670
Summary: PedNavigator is a pedigree drawing application for large and complex pedigrees. It has been developed especially for genetic and epidemiological studies of isolated populations characterized by high inbreeding and multiple matrimonies. PedNa