Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Natasa Przulj"'
Publikováno v:
PLoS Computational Biology, Vol 5, Iss 8, p e1000454 (2009)
Understanding complex networks of protein-protein interactions (PPIs) is one of the foremost challenges of the post-genomic era. Due to the recent advances in experimental bio-technology, including yeast-2-hybrid (Y2H), tandem affinity purification (
Externí odkaz:
https://doaj.org/article/253ba1dbac7846a6ba51b30939723b97
Publikováno v:
PLoS ONE, Vol 4, Iss 6, p e5967 (2009)
Much attention has recently been given to the statistical significance of topological features observed in biological networks. Here, we consider residue interaction graphs (RIGs) as network representations of protein structures with residues as node
Externí odkaz:
https://doaj.org/article/659636a6fd2545b2a6869ea181845ff9
Publikováno v:
PLoS Computational Biology, Vol 3, Iss 7, p e118 (2007)
The (asymptotic) degree distributions of the best-known "scale-free" network models are all similar and are independent of the seed graph used; hence, it has been tempting to assume that networks generated by these models are generally similar. In th
Externí odkaz:
https://doaj.org/article/aa132fc05067409399fee2c7aeb2d339
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
Motivation: The integration of multi-omic data by using machine learning methods has been focused to solve relevant tasks such as predicting sensitivity to a drug, or subtyping patients. Recent integration methods, such as joint Non-negative Matrix F
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57cea3dbc583ec12a1bd7a34b58e0a0d
The COVID-19 pandemic is raging. It revealed the importance of rapid scientific advancement towards understanding and treating new diseases. To address this challenge, we adapt an explainable artificial intelligence algorithm for data fusion and util
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d0c3fe8bc1f4b3a0ff2e545408c551c
https://doi.org/10.21203/rs.3.rs-152622/v2
https://doi.org/10.21203/rs.3.rs-152622/v2
Autor:
Vida Vukašinović, Rok Hribar, Timotej Hrga, Janez Povh, Natasa Przulj, Gregor Papa, Gašper Petelin
Publikováno v:
Journal of global optimization, vol. 82, 2022.
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Journal of Global Optimization
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Journal of Global Optimization
In this paper, we consider the symmetric multi-type non-negative matrix tri-factorization problem (SNMTF), which attempts to factorize several symmetric non-negative matrices simultaneously. This can be considered as a generalization of the classical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3021417959023be80530eb5c67d745d
http://arxiv.org/abs/2012.05963
http://arxiv.org/abs/2012.05963
Autor:
Thomas Gaudelet, Predrag Radivojac, Noël Malod-Dognin, Daniel Zeiberg, Jose Lugo-Martinez, Natasa Przulj
Publikováno v:
Bioinformatics
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Motivation Biological and cellular systems are often modeled as graphs in which vertices represent objects of interest (genes, proteins and drugs) and edges represent relational ties between these objects (binds-to, interacts-with and regulates). Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7a15f839304bc1bcc00ee2b1c3f3b33
https://europepmc.org/articles/PMC8128478/
https://europepmc.org/articles/PMC8128478/
Autor:
Lara Andreoli, Catalina Berca, Sonja Katz, Maryna Korshevniuk, Ritchie M. Head, Kristel Van Steen, TranSYS Consortium, Kris Dierickx, Federico Melograna, Zuqi Li, Giada Lalli, Johan M. Kros, Shiva Najjary, Damjana Rozman, Andrew Walakira, Alexander Skupin, Elle Wilson, Francisco X. Real, Benno Schwikowski, Behnam Yousefi, Nataša Pržulj, Katarina Mihajlovic, Elisabeth B. Binder, Nahid Taheri, Anastasiia Hryhorzhevska, Lude Franke, George P. Patrinos, Kariofyllis Karamperis, Oscar Lao, Vitor A. P. Martins dos Santos, Christina Olsen, Ritchie Head
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
IntroductionIn the evolving healthcare landscape, precision medicine's rise necessitates adaptable doctoral training. The European Union has recognized this and promotes the development of international, training-focused programmes called Innovative
Externí odkaz:
https://doaj.org/article/33e1667ff3424246bdd333e44becb2c0