Výsledky vyhledávání - "Filippo Geraci"

Akademický článek

Autor: Claudia Caudai, Antonella Galizia, Filippo Geraci, Loredana Le Pera, Veronica Morea, Emanuele Salerno, Allegra Via, Teresa Colombo

Publikováno v: Computational and Structural Biotechnology Journal, Vol 19, Iss , Pp 5762-5790 (2021)

We review the current applications of artificial intelligence (AI) in functional genomics. The recent explosion of AI follows the remarkable achievements made possible by “deep learning”, along with a burst of “big data” that can meet its hun

Externí odkaz: https://doaj.org/article/51ae253844e64a12b6a64863e6a7b82b

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Akademický článek

Graph-Based Integration of Histone Modification Profiles

Autor: Federica Baccini, Monica Bianchini, Filippo Geraci

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

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Akademický článek

Editorial: RNA-Seq Analysis: Methods, Applications and Challenges

Autor: Filippo Geraci, Indrajit Saha, Monica Bianchini

Publikováno v: Frontiers in Genetics, Vol 11 (2020)

Externí odkaz: https://doaj.org/article/f778276a65a34db8b8d7ef18bdae46cd

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Akademický článek

A Census of Tandemly Repeated Polymorphic Loci in Genic Regions Through the Comparative Integration of Human Genome Assemblies

Autor: Loredana M. Genovese, Filippo Geraci, Lucia Corrado, Eleonora Mangano, Romina D'Aurizio, Roberta Bordoni, Marco Severgnini, Giovanni Manzini, Gianluca De Bellis, Sandra D'Alfonso, Marco Pellegrini

Publikováno v: Frontiers in Genetics, Vol 9 (2018)

Polymorphic Tandem Repeat (PTR) is a common form of polymorphism in the human genome. A PTR consists in a variation found in an individual (or in a population) of the number of repeating units of a Tandem Repeat (TR) locus of the genome with respect

Externí odkaz: https://doaj.org/article/92c24b9e36fc4c92bb40664c827e91b9

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Akademický článek

Genome-wide analysis of NGS data to compile cancer-specific panels of miRNA biomarkers.

Autor: Shib Sankar Bhowmick, Indrajit Saha, Debotosh Bhattacharjee, Loredana M Genovese, Filippo Geraci

Publikováno v: PLoS ONE, Vol 13, Iss 7, p e0200353 (2018)

MicroRNAs are small non-coding RNAs that influence gene expression by binding to the 3' UTR of target mRNAs in order to repress protein synthesis. Soon after discovery, microRNA dysregulation has been associated to several pathologies. In particular,

Externí odkaz: https://doaj.org/article/b003ef4674044eb69d8213df636851a9

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Weighted simplicial complexes and their representation power of higher-order network data and topology

Autor: Federica Baccini, Filippo Geraci, Ginestra Bianconi

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

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AI applications in functional genomics

Autor: Allegra Via, Claudia Caudai, Loredana Le Pera, Veronica Morea, Filippo Geraci, Emanuele Salerno, Antonella Galizia, Teresa Colombo

Publikováno v: Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 5762-5790 (2021)
Computational and Structural Biotechnology Journal 19 (2021): 5762–5790. doi:10.1016/j.csbj.2021.10.009
info:cnr-pdr/source/autori:Caudai C.; Galizia A.; Geraci F.; Le Pera L.; Morea V.; Salerno E.; Via A.; Colombo T./titolo:AI applications in functional genomics/doi:10.1016%2Fj.csbj.2021.10.009/rivista:Computational and Structural Biotechnology Journal/anno:2021/pagina_da:5762/pagina_a:5790/intervallo_pagine:5762–5790/volume:19
Computational and Structural Biotechnology Journal

Graphical abstract
We review the current applications of artificial intelligence (AI) in functional genomics. The recent explosion of AI follows the remarkable achievements made possible by “deep learning”, along with a burst of “big data�

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a5e19d51e73b23539f09339163b8877
http://www.sciencedirect.com/science/article/pii/S2001037021004311

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Machine Learning and Bioinformatics Framework Integration to Potential Familial DCM-Related Markers Discovery

Autor: Concetta Schiano, Monica Franzese, Filippo Geraci, Mario Zanfardino, Ciro Maiello, Vittorio Palmieri, Andrea Soricelli, Vincenzo Grimaldi, Enrico Coscioni, Marco Salvatore, Claudio Napoli

Publikováno v: Genes, Vol 12, Iss 1946, p 1946 (2021)
Genes
Genes; Volume 12; Issue 12; Pages: 1946
Genes 12 (2021).
info:cnr-pdr/source/autori:C. Schiano (1), M. Franzese (2), F. Geraci (3), M. Zanfardino (2), C. Maiello (4), V.o Palmieri (4), A. Soricelli (2)(5), V. Grimaldi (2), E. Coscioni (6), M. Salvatore (2), C. Napoli (1)(2)(7)/titolo:Machine Learning and Bioinformatics Framework Integration to Potential Familial DCM-Related Markers Discovery/doi:/rivista:Genes/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:12

Objectives: Dilated cardiomyopathy (DCM) is characterized by a specific transcriptome. Since the DCM molecular network is largely unknown, the aim was to identify specific disease-related molecular targets combining an original machine learning (ML)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bedf9457bec24902ef861f43a55e7af0
https://www.mdpi.com/2073-4425/12/12/1946

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Akademický článek

A new method for discovering disease-specific MiRNA-target regulatory networks.

Autor: Miriam Baglioni, Francesco Russo, Filippo Geraci, Milena Rizzo, Giuseppe Rainaldi, Marco Pellegrini

Publikováno v: PLoS ONE, Vol 10, Iss 4, p e0122473 (2015)

Genes and their expression regulation are among the key factors in the comprehension of the genesis and development of complex diseases. In this context, microRNAs (miRNAs) are post-transcriptional regulators that play an important role in gene expre

Externí odkaz: https://doaj.org/article/810f4fb1105f4ecaa8aec8327e5b96e6

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Akademický článek

A previously undescribed complex coronary artery anomaly

Autor: Salvatore Geraci, Filippo Geraci, Carmelo Grasso, Federica Di Martino, Corrado Tamburino

Publikováno v: Heart Views, Vol 14, Iss 1, Pp 33-35 (2013)

Coronary artery anomalies are uncommon disorders. According to the literature, ≈1% of the general population is affected by a coronary artery abnormality. Coronary artery anomalies are often not associated with clinical signs, symptoms, or complica

Externí odkaz: https://doaj.org/article/4e5523295d3f4a3995cdc4344eca48a0

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