Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Gaia Ceddia"'
Autor:
Katarina Mihajlović, Gaia Ceddia, Noël Malod-Dognin, Gabriela Novak, Dimitrios Kyriakis, Alexander Skupin, Nataša Pržulj
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Parkinson’s disease (PD) is a complex neurodegenerative disorder without a cure. The onset of PD symptoms corresponds to 50% loss of midbrain dopaminergic (mDA) neurons, limiting early-stage understanding of PD. To shed light on early PD d
Externí odkaz:
https://doaj.org/article/531af1861e4c4f0fa772b4af187f52dd
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-20 (2023)
Abstract Background Transcription factors (TF) play a crucial role in the regulation of gene transcription; alterations of their activity and binding to DNA areas are strongly involved in cancer and other disease onset and development. For proper bio
Externí odkaz:
https://doaj.org/article/12d2ef0bb0c94131a6305d9108d16d85
Autor:
Noël Malod-Dognin, Gaia Ceddia, Maja Gvozdenov, Branko Tomić, Sofija Dunjić Manevski, Valentina Djordjević, Nataša Pržulj
Publikováno v:
PLoS ONE, Vol 18, Iss 4 (2023)
Antithrombin resistance is a rare subtype of hereditary thrombophilia caused by prothrombin gene variants, leading to thrombotic disorders. Recently, the Prothrombin Belgrade variant has been reported as a specific variant that leads to antithrombin
Externí odkaz:
https://doaj.org/article/52bc55a561a7478d9ae8acfd1f932492
Publikováno v:
npj Systems Biology and Applications, Vol 7, Iss 1, Pp 1-10 (2021)
Abstract The complexity of cancer has always been a huge issue in understanding the source of this disease. However, by appreciating its complexity, we can shed some light on crucial gene associations across and in specific cancer types. In this stud
Externí odkaz:
https://doaj.org/article/ebc80e4041a64c0186c0c1816ed19791
Publikováno v:
Bioinformatics. 39
Motivation Advances in omics technologies have revolutionized cancer research by producing massive datasets. Common approaches to deciphering these complex data are by embedding algorithms of molecular interaction networks. These algorithms find a lo
Autor:
Vincent Gureghian, Hailee Herbst, Ines Kozar, Katarina Mihajlovic, Noël Malod-Dognin, Gaia Ceddia, Cristian Angeli, Christiane Margue, Tijana Randic, Demetra Philippidou, Milène Tetsi Nomigni, Ahmed Hemedan, Leon-Charles Tranchevent, Joseph Longworth, Mark Bauer, Apurva Badkas, Anthoula Gaigneaux, Arnaud Muller, Marek Ostaszewski, Fabrice Tolle, Nataša Pržulj, Stephanie Kreis
Therapy Induced Senescence (TIS) leads to sustained growth arrest of cancer cells. The associated cytostasis has been shown to be reversible and cells escaping senescence further enhance the aggressiveness of cancers. Together with targeted therapeut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfc6e5557f14569079e2e1e54f858f28
https://doi.org/10.1101/2023.02.13.528114
https://doi.org/10.1101/2023.02.13.528114
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics
Traditional drug experiments to find synergistic drug pairs are time-consuming and expensive due to the numerous possible combinations of drugs that have to be examined. Thus, computational methods that can give suggestions for synergistic drug inves
Autor:
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana, Konstantinos Sechidis, Arif Canakoglu, Sara Pido, Pietro Pinoli, Albert Bifet, Sepideh Pashami
This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Gre
Publikováno v:
IEEE Journal of Biomedical and Health Informatics
Classical drug design methodologies are hugely costly and time-consuming, with approximately 85% of the new proposed molecules failing in the first three phases of the FDA drug approval process. Thus, strategies to find alternative indications for al
Autor:
Marco Masseroli, Mario Cannataro, Marzia Settino, Gaia Ceddia, Giuseppe Agapito, Anna Bernasconi
Publikováno v:
BCB
Recent integrative analyses using data from TCGA permit GWAS investigation of the genetic variants function, providing more insight than single-platform approaches. Although there has been much progress, the integration across data sets and data type