Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Bence Bolgar"'
Autor:
Andras Gezsi, Sandra Van der Auwera, Hannu Mäkinen, Nora Eszlari, Gabor Hullam, Tamas Nagy, Sarah Bonk, Rubèn González-Colom, Xenia Gonda, Linda Garvert, Teemu Paajanen, Zsofia Gal, Kevin Kirchner, Andras Millinghoffer, Carsten O. Schmidt, Bence Bolgar, Josep Roca, Isaac Cano, Mikko Kuokkanen, Peter Antal, Gabriella Juhasz
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract The heterogeneity and complexity of symptom presentation, comorbidities and genetic factors pose challenges to the identification of biological mechanisms underlying complex diseases. Current approaches used to identify biological subtypes o
Externí odkaz:
https://doaj.org/article/43fb0a77e0ce443aa7add873f517e19c
Autor:
Bence Bruncsics, Gabor Hullam, Bence Bolgar, Peter Petschner, Andras Millinghoffer, Kinga Gecse, Nora Eszlari, Xenia Gonda, Debra J. Jones, Sorrel T. Burden, Peter Antal, Bill Deakin, Gyorgy Bagdy, Gabriella Juhasz
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Manipulation of intake of serotonin precursor tryptophan has been exploited to rapidly induce and alleviate depression symptoms. While studies show that this latter effect is dependent on genetic vulnerability to depression, the effect of ha
Externí odkaz:
https://doaj.org/article/d90211f53735498d8257a1b5d6fd8a0b
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 6, p e1005487 (2017)
Comorbidity patterns have become a major source of information to explore shared mechanisms of pathogenesis between disorders. In hypothesis-free exploration of comorbid conditions, disease-disease networks are usually identified by pairwise methods.
Externí odkaz:
https://doaj.org/article/e5e16c86d95249ab94a9709197bce440
Autor:
Bence Bolgár, Péter Antal
Publikováno v:
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-18 (2017)
Abstract Background Computational fusion approaches to drug-target interaction (DTI) prediction, capable of utilizing multiple sources of background knowledge, were reported to achieve superior predictive performance in multiple studies. Other studie
Externí odkaz:
https://doaj.org/article/39fd95a8498a48beb050a0ec1e005405
Autor:
Péter Balicza, Noémi Ágnes Varga, Bence Bolgár, Klára Pentelényi, Renáta Bencsik, Anikó Gál, András Gézsi, Csilla Prekop, Viktor Molnár, Mária Judit Molnár
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
BackgroundAutism spectrum disorder (ASD) is genetically and phenotypically heterogeneous. Former genetic studies suggested that both common and rare genetic variants play a role in the etiology. In this study, we aimed to analyze rare variants detect
Externí odkaz:
https://doaj.org/article/53ba25c4f3e045d2a718d6c5730e49b7