Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Attila Beleon"'
Autor:
Attila Beleon, Sara Pignatta, Chiara Arienti, Antonella Carbonaro, Peter Horvath, Giovanni Martinelli, Gastone Castellani, Anna Tesei, Filippo Piccinini
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 20, Iss , Pp 4122-4130 (2022)
Comet assay provides an easy solution to estimate DNA damage in single cells through microscopy assessment. It is widely used in the analysis of genotoxic damages induced by radiotherapy or chemotherapeutic agents. DNA damage is quantified at the sin
Externí odkaz:
https://doaj.org/article/b8235e0aa9474dfe8122d8b4d84b6f09
Autor:
Abel Szkalisity, Filippo Piccinini, Attila Beleon, Tamas Balassa, Istvan Gergely Varga, Ede Migh, Csaba Molnar, Lassi Paavolainen, Sanna Timonen, Indranil Banerjee, Elina Ikonen, Yohei Yamauchi, Istvan Ando, Jaakko Peltonen, Vilja Pietiäinen, Viktor Honti, Peter Horvath
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
High-content screening prompted the development of software enabling discrete phenotypic analysis of single cells. Here, the authors show that supervised continuous machine learning can drive novel discoveries in diverse imaging experiments and prese
Externí odkaz:
https://doaj.org/article/f49f0d2d8b5f4b588375e657d0654bfa
Autor:
Csaba Molnar, Attila Beleon, Vilja Pietiäinen, Lassi Paavolainen, Tamas Balassa, Jaakko Peltonen, Istvan Gergely Varga, Elina Ikonen, Indranil Banerjee, Sanna Timonen, Ede Migh, Yohei Yamauchi, Filippo Piccinini, Abel Szkalisity, Peter Horvath, István Andó, Viktor Honti
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Nature Communications
Nature Communications
Biological processes are inherently continuous, and the chance of phenotypic discovery is significantly restricted by discretising them. Using multi-parametric active regression we introduce the Regression Plane (RP), a user-friendly discovery tool e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::308189ac3560bd35b66934cc329b6da8
https://doaj.org/article/f49f0d2d8b5f4b588375e657d0654bfa
https://doaj.org/article/f49f0d2d8b5f4b588375e657d0654bfa
Autor:
Peter Horvath, Jaakko Peltonen, Viktor Honti, Yohei Yamauchi, Lassi Paavolainen, Indranil Banerjee, Tamas Balassa, Istvan Gergely Varga, Abel Szkalisity, Filippo Piccinini, István Andó, Ede Migh, Attila Beleon, Sanna Timonen, Vilja Pietiäinen
Biological processes are inherently continuous, and the chance of phenotypic discovery is significantly restricted by discretising them. Using multi-parametric active regression we introduce a novel concept to describe and explore biological data in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40e4661ec39363f30c2381bbb60ebf34
https://doi.org/10.1101/2020.09.01.276089
https://doi.org/10.1101/2020.09.01.276089
