Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Papetti, D"'
Autor:
Daniele M. Papetti, Simone Spolaor, Iman Nazari, Andrea Tirelli, Tommaso Leonardi, Chiara Caprioli, Daniela Besozzi, Thalia Vlachou, Pier Giuseppe Pelicci, Paolo Cazzaniga, Marco S. Nobile
Publikováno v:
Frontiers in Bioinformatics, 3:1067113. Frontiers Media S.A.
Introduction: Oxford Nanopore Technologies (ONT) is a third generation sequencing approach that allows the analysis of individual, full-length nucleic acids. ONT records the alterations of an ionic current flowing across a nano-scaled pore while a DN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02885a06e1af47c7bf67def5b165df1f
https://research.tue.nl/nl/publications/31593273-93b9-41da-8155-e7ee60c1c3c2
https://research.tue.nl/nl/publications/31593273-93b9-41da-8155-e7ee60c1c3c2
Autor:
Daniele M. Papetti, Vasco Coelho, Daniel A. Ashlock, Paolo Cazzaniga, Simone Spolaor, Daniela Besozzi, Marco S. Nobile
Publikováno v:
2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022
Solving optimization problems is one of the most complex and widespread task in Computer Science. In many scenarios, finding the global optimum of a function is hampered by several features that characterize the fitness landscapes, such as noisiness,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::377abdfe2d9378cbb7dddd208948b487
https://doi.org/10.1109/CIBCB55180.2022.9863041
https://doi.org/10.1109/CIBCB55180.2022.9863041
Autor:
Daniele M Papetti, Kirsten Van Abeelen, Rhodri Davies, Roberto Menè, Francesca Heilbron, Francesco P Perelli, Jessica Artico, Andreas Seraphim, James C Moon, Gianfranco Parati, Hui Xue, Peter Kellman, Luigi P Badano, Daniela Besozzi, Marco S Nobile, Camilla Torlasco
Publikováno v:
Computer methods and programs in biomedicine. 229
Background and objectives: Myocardial infarction scar (MIS) assessment by cardiac magnetic resonance provides prognostic information and guides patients’ clinical management. However, MIS segmentation is time-consuming and not performed routinely.
Shaping and Dilating the Fitness Landscape for Parameter Estimation in Stochastic Biochemical Models
Publikováno v:
Applied Sciences (Switzerland), 12(13):6671. Multidisciplinary Digital Publishing Institute (MDPI)
Applied Sciences; Volume 12; Issue 13; Pages: 6671
Applied Sciences; Volume 12; Issue 13; Pages: 6671
Featured Application Potential applications of this work regard the parameter estimation and the resulting analyses of complex biochemical systems characterized by a stochastic behavior, which allows for elucidating the unknown underlying mechanisms.
Autor:
Spolaor, Simone, Papetti, Daniele M., Cazzaniga, Paolo, Besozzi, Daniela, Nobile, Marco S., Hallinan, Jennifer, Chetty, Madhu, Heredia, Gonzalo Ruz, Shatte, Adrian, Lim, Suryani
Publikováno v:
2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
CIBCB
CIBCB
Combination therapies represent one of the most effective strategy in inducing cancer cell death and reducing the risk to develop drug resistance. The identification of putative novel drug combinations, which typically requires the execution of expen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05c14c061e355114dd28862da9dfa03c
https://research.tue.nl/en/publications/f98cd9ab-60a8-4139-828c-a072c93cb787
https://research.tue.nl/en/publications/f98cd9ab-60a8-4139-828c-a072c93cb787
Publikováno v:
CEC
2021 IEEE Congress on Evolutionary Computation (CEC), 1414-1422
STARTPAGE=1414;ENDPAGE=1422;TITLE=2021 IEEE Congress on Evolutionary Computation (CEC)
2021 IEEE Congress on Evolutionary Computation (CEC), 1414-1422
STARTPAGE=1414;ENDPAGE=1422;TITLE=2021 IEEE Congress on Evolutionary Computation (CEC)
Optimization problems represent a class of pervasive and complex tasks in Computer Science, aimed at identifying the global optimum of a given objective function. Optimization problems are typically noisy, multi-modal, non-convex, non-separable, and
Autor:
Jessica Artico, Peter Kellman, R Mene, Marco S. Nobile, Luigi P. Badano, Andreas Seraphim, James C. Moon, Daniele M. Papetti, Gianfranco Parati, Camilla Torlasco, Hui Xue
Publikováno v:
European Heart Journal - Cardiovascular Imaging. 22
Funding Acknowledgements Type of funding sources: None. Introduction The extent of ischemic scar detected by Cardiac Magnetic Resonance (CMR) with late gadolinium enhancement (LGE) is linked with long-term prognosis, but scar quantification is time-c
Autor:
Marco S. Nobile, Marco Antoniotti, Simone Spolaor, Daniela Besozzi, Paolo Cazzaniga, Daniele M. Papetti
Publikováno v:
IJCNN
IEEE International Joint Conference on Neural Networks (IJCNN 2020)
IEEE International Joint Conference on Neural Networks (IJCNN 2020)
Nowadays, understanding the topology of biological neural networks and sampling their activity is possible thanks to various laboratory protocols that provide a large amount of experimental data, thus paving the way to accurate modeling and simulatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97849133e1f10bf6a1dd0dd3fb088953
https://research.tue.nl/en/publications/8aa9a86f-da25-4341-a787-117e6e4710f3
https://research.tue.nl/en/publications/8aa9a86f-da25-4341-a787-117e6e4710f3
Autor:
Marco S. Nobile, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga, Daniele M. Papetti, Luca Manzoni, Simone Spolaor
Publikováno v:
Entropy, Vol 22, Iss 3, p 285 (2020)
Entropy
Volume 22
Issue 3
Entropy, 22(3):285. Multidisciplinary Digital Publishing Institute (MDPI)
Entropy
Volume 22
Issue 3
Entropy, 22(3):285. Multidisciplinary Digital Publishing Institute (MDPI)
Surfing in rough waters is not always as fun as wave riding the &ldquo
big one&rdquo
Similarly, in optimization problems, fitness landscapes with a huge number of local optima make the search for the global optimum a hard and generally anno
big one&rdquo
Similarly, in optimization problems, fitness landscapes with a huge number of local optima make the search for the global optimum a hard and generally anno