Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Federica Baccini"'
Publikováno v:
Journal of Physics: Complexity, Vol 4, Iss 2, p 025017 (2023)
We introduce a methodology based on averaging similarity matrices with the aim of integrating the layers of a multiplex network into a single monoplex network. Multiplex networks are adopted for modelling a wide variety of real-world frameworks, such
Externí odkaz:
https://doaj.org/article/17d9ea04d343415eb93120d57be1abe6
Publikováno v:
Mathematics, Vol 10, Iss 11, p 1842 (2022)
In this work, we introduce a similarity-network-based approach to explore the role of interacting single-cell histone modification signals in haematopoiesis—the process of differentiation of blood cells. Histones are proteins that provide structura
Externí odkaz:
https://doaj.org/article/790e930a72794675b3390975c4e410f2
Publikováno v:
Physical review. E. 106(3-1)
Hypergraphs and simplical complexes both capture the higher-order interactions of complex systems, ranging from higher-order collaboration networks to brain networks. One open problem in the field is what should drive the choice of the adopted mathem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef3af49f600cfe554a5b1196518e148a
https://pubmed.ncbi.nlm.nih.gov/36266916
https://pubmed.ncbi.nlm.nih.gov/36266916
Autor:
Sara Marziali, Anna Visibelli, Pietro Bongini, Filippo Guerranti, Federica Baccini, Niccolò Pancino, Mirco Mannino
Publikováno v:
KES
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2304ad972200d9252cd65142fe3c46a
https://doi.org/10.1016/j.procs.2021.08.174
https://doi.org/10.1016/j.procs.2021.08.174
This paper explores intellectual and social proximity among scholarly journals by using network fusion techniques. Similarities among journals are initially represented by means of a three-layer network based on co-citations, common authors and commo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2f684fcf30f1cc286eb086240517e28
http://hdl.handle.net/11365/1173323
http://hdl.handle.net/11365/1173323
In this paper, we show that quantifying histone modifications by counting the number of high– resolution peaks in each gene allows to build profiles of these epigenetic marks, associating them to a phenotype. The significance of this approach is ve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f05eb9892658aaeabc435d12f8d02e6b
https://doi.org/10.1101/2020.10.22.350611
https://doi.org/10.1101/2020.10.22.350611