Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Silvia D'Angelo"'
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-9 (2021)
Abstract Background Metabolomic biomarkers offer potential for objective and reliable food intake assessment, and there is growing interest in using biomarkers in place of or with traditional self-reported approaches. Ongoing research suggests that m
Externí odkaz:
https://doaj.org/article/b317a0fa68a44a2d9729bd42028f62cf
Autor:
Marco Favaro, Walter Mattina, Enrico Salvatore Pistoia, Roberta Gaziano, Paolo Di Francesco, Simon Middleton, Silvia D’Angelo, Tullio Altarozzi, Carla Fontana
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract The world is facing an exceptional pandemic caused by SARS-CoV-2. To allow the diagnosis of COVID-19 infections, several assays based on the real-time PCR technique have been proposed. The requests for diagnosis are such that it was immediat
Externí odkaz:
https://doaj.org/article/8a14911a04a54a86bc8a64d645e7e9ee
Autor:
Johana Hrdinová, Silvia D’Angelo, Nuno A. G. Graça, Bogac Ercig, Karen Vanhoorelbeke, Agnès Veyradier, Jan Voorberg, Paul Coppo
Publikováno v:
Haematologica, Vol 106, Iss 3 (2021)
Externí odkaz:
https://doaj.org/article/1314eb3f613f496899cc1efe7934e344
Autor:
Johana Hrdinová, Silvia D’Angelo, Nuno A. G. Graça, Bogac Ercig, Karen Vanhoorelbeke, Agnès Veyradier, Jan Voorberg, Paul Coppo
Publikováno v:
Haematologica, Vol 103, Iss 7 (2018)
Although outstanding progress has been made in understanding the pathophysiology of thrombotic thrombocytopenic purpura (TTP), knowledge of the immunopathogenesis of the disease is only at an early stage. Anti-ADAMTS13 auto-antibodies were shown to b
Externí odkaz:
https://doaj.org/article/cd9464014281452f86081c26b1685472
Publikováno v:
Demographic Research, Vol 38, p 16 (2018)
Background: Multiple causes of death describe complex death processes marked by the simultaneous presence of several diseases and conditions, primarily at older ages. Objective: We intend to explore the opportunity offered by the Social Network Analy
Externí odkaz:
https://doaj.org/article/f579c40049bd4342b9d2063f44b83d46
Publikováno v:
Wiley StatsRef: Statistics Reference Online. :1-11
Recent developments in biomarker discovery have demonstrated that combining biomarkers with self-reported intake data has the potential to improve estimation of food intake. Here, statistical methods for combining biomarker and self-reported food int
Publikováno v:
Journal of the Royal Statistical Society Series A: Statistics in Society.
Social network data are relational data recorded among a group of actors, interacting in different contexts. Often, the same set of actors can be characterised by multiple social relations, captured by a multidimensional network. A common situation i
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-9 (2021)
BMC Bioinformatics
BMC Bioinformatics
BackgroundMetabolomic biomarkers offer potential for objective and reliable food intake assessment, and there is growing interest in using biomarkers in place of or with traditional self-reported approaches. Ongoing research suggests that multiple bi
Publikováno v:
The Annals of Applied Statistics. 15
Metabolomic based approaches have gained much attention in recent years due to their promising potential to deliver objective tools for assessment of food intake. In particular, multiple biomarkers have emerged for single foods. However, there is a l
Autor:
Silvia D’Angelo, Roberta Gaziano, Tullio Altarozzi, Enrico Salvatore Pistoia, Carla Fontana, Simon Middleton, Walter Mattina, Marco Favaro, Paolo Di Francesco
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Purpuse: The world is facing an exceptional pandemic caused by SARS-CoV-2. To allow the diagnosis of COVID infection, several assays based on the real-time PCR technique have been proposed. The requests for diagnosis are such that it was immediately
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca052d5475a9a79cf6207b24e4a068d6
https://doi.org/10.21203/rs.3.rs-444152/v1
https://doi.org/10.21203/rs.3.rs-444152/v1