Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Emanuele Pascariello"'
Autor:
Sandra Orrù, Emanuele Pascariello, Barbara Pes, Vincenzo Rallo, Raffaele Barbara, Marta Muntoni, Francesca Notari, Gianfranco Fancello, Cristina Mocci, Maria Rosaria Muroni, Paolo Cossu-Rocca, Andrea Angius, Maria Rosaria De Miglio
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract HER2+ breast cancer (BC) is an aggressive subtype genetically and biologically heterogeneous. We evaluate the predictive and prognostic role of HER2 protein/gene expression levels combined with clinico-pathologic features in 154 HER2+ BCs pa
Externí odkaz:
https://doaj.org/article/36a1b443ba6641c4a88d18e2637049d3
Autor:
Sandra Orrù, Emanuele Pascariello, Giovanni Sotgiu, Daniela Piras, Laura Saderi, Maria Rosaria Muroni, Ciriaco Carru, Caterina Arru, Cristina Mocci, Giampietro Pinna, Raffaele Barbara, Paolo Cossu-Rocca, Maria Rosaria De Miglio
Publikováno v:
Biomedicines, Vol 10, Iss 1, p 164 (2022)
HER2+ breast cancer (BC) is an aggressive subtype representing a genetically and biologically heterogeneous group of tumors resulting in variable prognosis and treatment response to HER2-targeted therapies according to estrogen (ER) and progesterone
Externí odkaz:
https://doaj.org/article/bf04c690ceb04924bd09c6ecb2d72a65
Publikováno v:
Future Generation Computer Systems. 54:399-408
Despite the large acceptance of Semantic Web technologies and their key role in bioinformatics, some concerns begin to emerge about their suitability for supporting the requirements of collaborative environments where a research community shares and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efeecd6cd9cab2027f3ac41cdffda9fd
https://doi.org/10.1016/j.future.2015.04.012
https://doi.org/10.1016/j.future.2015.04.012
Publikováno v:
WETICE
The evolution of web technologies seems to characterize a new scenario for biomedical researchers who take advantage from sophisticated on to logies offered by scientific portals. This paper introduces the concept of BioContext, a software environmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a0149eda68c07b608bf862f404cccf4
https://doi.org/10.1109/wetice.2015.17
https://doi.org/10.1109/wetice.2015.17
Publikováno v:
Computational Intelligence Methods for Bioinformatics and Biostatistics ISBN: 9783319244617
CIBB
CIBB
A key activity for life scientists is the exploration of the relatedness of a set of genes in order to differentiate genes performing coherently related functions from random grouped genes. This paper considers exploring the relatedness within two po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b610b861d8e39c5d9bbcc7d83c642bfa
https://doi.org/10.1007/978-3-319-24462-4_4
https://doi.org/10.1007/978-3-319-24462-4_4
Publikováno v:
WETICE
With the advent of biological ontologies an increasing amount of methods are emerging for enriching gene information by means of their annotations. However, problems occur in assessing semantic similarity over genetic aspects that are represented ind
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcc22fcd5aefd7ac00700042cb45817d
https://doi.org/10.1109/wetice.2014.21
https://doi.org/10.1109/wetice.2014.21
Publikováno v:
Computational Intelligence Methods for Bioinformatics and Biostatistics ISBN: 9783319090412
CIBB
CIBB
The massive production and spread of biomedical data around the web introduces new challenges related to identify computational approaches for providing quality search and browsing of web resources. This papers presents BioCloud Search EnGene (BSE),
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a12851a207f478981d2b34e6af996ee6
https://doi.org/10.1007/978-3-319-09042-9_3
https://doi.org/10.1007/978-3-319-09042-9_3
Publikováno v:
BioMed Research International, Vol 2013 (2013)
BioMed Research International
BioMed Research International
Feature selection has become the essential step in biomarker discovery from high-dimensional genomics data. It is recognized that different feature selection techniques may result in different set of biomarkers, that is, different groups of genes hig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01d82c63c5fc60e489374aec42ed02d2
https://doaj.org/article/1c78cf3803d24205bfa7ce71b2f16c49
https://doaj.org/article/1c78cf3803d24205bfa7ce71b2f16c49