Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Eliska Chalupova"'
Autor:
Panagiotis Alexiou, Konstantinos G Liakos, Eliska Chalupova, Andrea Grioni, Fotis Plessas, Georgios Georgakilas
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
Scientific Reports
Scientific Reports
Genomic regions that encode small RNA genes exhibit characteristic patterns in their sequence, secondary structure, and evolutionary conservation. Convolutional Neural Networks are a family of algorithms that can classify data based on learned patter
Autor:
Panagiotis Alexiou, Filip Jozefov, Eliska Chalupova, Ondrej Vaculik, Jakub Polacek, Tomáš Majtner
Publikováno v:
BMC Genomics
Background The recent big data revolution in Genomics, coupled with the emergence of Deep Learning as a set of powerful machine learning methods, has shifted the standard practices of machine learning for Genomics. Even though Deep Learning methods s
Autor:
Eliška Chalupová, Ondřej Vaculík, Jakub Poláček, Filip Jozefov, Tomáš Majtner, Panagiotis Alexiou
Publikováno v:
BMC Genomics, Vol 23, Iss 1, Pp 1-11 (2022)
Abstract Background The recent big data revolution in Genomics, coupled with the emergence of Deep Learning as a set of powerful machine learning methods, has shifted the standard practices of machine learning for Genomics. Even though Deep Learning
Externí odkaz:
https://doaj.org/article/bd9596f9c8e34bd6b8de40577fecb834
Publikováno v:
Biology, Vol 12, Iss 10, p 1276 (2023)
RNA-binding proteins are vital regulators in numerous biological processes. Their disfunction can result in diverse diseases, such as cancer or neurodegenerative disorders, making the prediction of their binding sites of high importance. Deep learnin
Externí odkaz:
https://doaj.org/article/cddf24ea2fe04bc483c39a341b58d8d1