Výsledky vyhledávání - "Elisabetta Marras"

Quality of Life in Amyotrophic Lateral Sclerosis Patients and Care Burden of Caregivers in Sardinia during COVID-19 Pandemic

Autor: Azara, Davide Gentili, Giovanna Deiana, Vanna Chessa, Annalisa Calabretta, Elisabetta Marras, Costanzo Solinas, Carmelo Gugliotta, Antonio

Publikováno v: Healthcare; Volume 11; Issue 11; Pages: 1641

Amyotrophic Lateral Sclerosis (ALS) is a rare neurogenerative disorder whose median survival ranges from 2 to 4 years after symptomatic onset. Therefore, the global Quality of Life (QoL) assessment in these patients should be carefully evaluated to g

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=multidiscipl::ba14268ec860b2f7553cae756de1fc97

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Manifold Learning in Protein Interactomes

Autor: Enrico Capobianco, Elisabetta Marras, Antonella Travaglione

Publikováno v: Journal of Computational Biology. 18:81-96

Many studies and applications in the post-genomic era have been devoted to analyze complex biological systems by computational inference methods. We propose to apply manifold learning methods to protein-protein interaction networks (PPIN). Despite th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9faad9357e83e2566d37a255ff319b5b
https://doi.org/10.1089/cmb.2009.0258

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Modularity Configurations in Biological Networks with Embedded Dynamics

Autor: Enrico Capobianco, Antonella Travaglione, Elisabetta Marras

Publikováno v: Statistical and Machine Learning Approaches for Network Analysis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::75e13531926a350a39f2f26d7f6bbee7
https://doi.org/10.1002/9781118346990.ch4

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Multiscale Characterization of Signaling Network Dynamics through Features

Autor: Enrico Capobianco, Antonella Travaglione, Elisabetta Marras

Publikováno v: Statistical Applications in Genetics and Molecular Biology. 10

Inference methods applied to biological networks suffer from a main criticism: as the latter reflect associations measured under static conditions, an evaluation of the underlying modular organization can be biologically meaningful only if the dynami

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89eabb755aa8b06a2550f8b435e65989
https://doi.org/10.2202/1544-6115.1657

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Inferring modules from human protein interactome classes

Autor: Gautam Chaurasia, Antonella Travaglione, Matthias E. Futschik, Elisabetta Marras, Enrico Capobianco

Publikováno v: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
BMC Systems Biology
BMC Systems Biology, Vol 4, Iss 1, p 102 (2010)

Background The integration of protein-protein interaction networks derived from high-throughput screening approaches and complementary sources is a key topic in systems biology. Although integration of protein interaction data is conventionally perfo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56262d688ffe8bad5bc48b19b26b9dbf
http://edoc.mdc-berlin.de/11236/1/11236oa.pdf

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Sub-Modular Resolution Analysis by Network Mixture Models

Autor: Antonella Travaglione, Elisabetta Marras, Enrico Capobianco

Publikováno v: Statistical Applications in Genetics and Molecular Biology. 9

Inferring the structure of networks usually involves the attempt of retrieving their modular organization and knowing its possible interpretation, while quantifying the involved computational complexity through the methods and algorithms to be used.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ed4e5383a4dc3b8f8c6150d12e04ad8
https://doi.org/10.2202/1544-6115.1523

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Advances in Human Protein Interactome Inference

Autor: Enrico Capobianco, Elisabetta Marras

Publikováno v: Contributions to Statistics ISBN: 9783790820614

Important cellular functions information can be obtained from decomposing Protein-Protein Interaction Networks (PPIN) into constituent groups (complexes, functional modules). Starting from well-covered model organisms (Yeast), our current e orts are

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d70b60f4d6cf8cccda9f8da9406512d2
https://doi.org/10.1007/978-3-7908-2062-1_15

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Development of a sensitive and specific enzyme-linked immunosorbent assay based on recombinant antigens for rapid detection of antibodies against Mycoplasma agalactiae in sheep

Autor: Carla Longheu, Toniangelo Onni, G. Idini, Marisa Fusco, Sebastiana Tola, Elisabetta Marras, Lucia Corona

Publikováno v: Clinical and vaccine immunology : CVI. 14(4)

We developed a new recombinant enzyme-linked immunosorbent assay (rELISA) for serodiagnosis of contagious agalactia (CA), a disease caused by Mycoplasma agalactiae in sheep and goats. The assay is based on two M. agalactiae surface proteins, namely,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4028fa2bc6afa0762266c6463c6e0556
https://pubmed.ncbi.nlm.nih.gov/17287317

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Mining protein–protein interaction networks: denoising effects

Autor: Elisabetta Marras, Enrico Capobianco

Publikováno v: Journal of Statistical Mechanics: Theory and Experiment. 2009:P01006

A typical instrument to pursue analysis in complex network studies is the analysis of the statistical distributions. They are usually computed for measures which characterize network topology, and are aimed at capturing both structural and dynamics a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1cb8de41e4e37923f6203c1eaed2a8dc
https://doi.org/10.1088/1742-5468/2009/01/p01006

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