Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Bonnici, Vincenzo"'
Autor:
Bonnici, Vincenzo1 (AUTHOR) vincenzo.bonnici@unipr.it, Chicco, Davide2,3 (AUTHOR) davidechicco@davidechicco.it
Publikováno v:
BioData Mining. 9/3/2024, Vol. 17 Issue 1, p1-14. 14p.
Autor:
Bonnici, Vincenzo1 (AUTHOR) vincenzo.bonnici@unipr.it
Publikováno v:
Information (2078-2489). Sep2024, Vol. 15 Issue 9, p547. 22p.
Publikováno v:
In Computers in Biology and Medicine September 2024 179
The concept of k-spectrum for genomes is here investigated as a basic tool to analyze genomes. Related spectral notions based on k-mers are introduced with some related mathematical properties which are relevant for informational analysis of genomes.
Externí odkaz:
http://arxiv.org/abs/2106.15351
Genomes may be analyzed from an information viewpoint as very long strings, containing functional elements of variable length, which have been assembled by evolution. In this work an innovative information theory based algorithm is proposed, to extra
Externí odkaz:
http://arxiv.org/abs/2009.10449
Autor:
Bonnici, Vincenzo
This work presents an upper-bound to value that the Kullback-Leibler (KL) divergence can reach for a class of probability distributions called quantum distributions (QD). The aim is to find a distribution $U$ which maximizes the KL divergence from a
Externí odkaz:
http://arxiv.org/abs/2008.05932
Autor:
Micale, Giovanni, Bonnici, Vincenzo, Ferro, Alfredo, Shasha, Dennis, Giugno, Rosalba, Pulvirenti, Alfredo
The Subgraph Matching (SM) problem consists of finding all the embeddings of a given small graph, called the query, into a large graph, called the target. The SM problem has been widely studied for simple graphs, i.e. graphs where there is exactly on
Externí odkaz:
http://arxiv.org/abs/2003.11546
Publikováno v:
In Journal of Biomedical Informatics December 2023 148
Akademický článek
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Autor:
Bonnici, Vincenzo, Grasso, Roberto, Micale, Giovanni, Maria, Antonio di, Shasha, Dennis, Pulvirenti, Alfredo, Giugno, Rosalba
Publikováno v:
Data Mining & Knowledge Discovery; Nov2024, Vol. 38 Issue 6, p3868-3921, 54p