Katarína Grešová

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 13

Top Topics

Convolutional Neural Network

Top Venues

Nucleic acids research

This page only lists publications with an associated author ORCID identifier.

Publications

David Procházka, Terézia Slanináková, Jaroslav Olha, Adrián Rošinec, Katarína Grešová, Miriama Jánošová, Jakub Čillík, Jana Porubská, Radka Svobodová, Vlastislav Dohnal, Matej Antol
AlphaFind: discover structure similarity across the proteome in AlphaFold DB. Nucleic acids research 52 (W1) (2024)
David Procházka, Terézia Slanináková, Jaroslav Olha, Adrián Rošinec, Katarína Grešová, Miriama Jánošová, Jakub Čillík, Jana Porubská, Radka Svobodová, Vlastislav Dohnal, Matej Antol
AlphaFind: discover structure similarity across the proteome in AlphaFold DB. Nucleic acids research 52 (W1) (2024)
David Procházka, Terézia Slanináková, Jaroslav Olha, Adrián Rošinec, Katarína Grešová, Miriama Jánošová, Jakub Čillík, Jana Porubská, Radka Svobodová, Vlastislav Dohnal, Matej Antol
AlphaFind: discover structure similarity across the proteome in AlphaFold DB. Nucleic acids research (2024)
David Procházka, Terézia Slanináková, Jaroslav Olha, Adrián Rošinec, Katarína Grešová, Miriama Jánošová, Jakub Čillík, Jana Porubská, Radka Svobodová, Vlastislav Dohnal, Matej Antol
AlphaFind: discover structure similarity across the proteome in AlphaFold DB. Nucleic acids research 52 (W1) (2024)
Katarína Grešová, Ondřej Vaculík, Panagiotis Alexiou
Using Attribution Sequence Alignment to Interpret Deep Learning Models for miRNA Binding Site Prediction. Biology 12 (3) (2023)
Ondřej Vaculík, Eliška Chalupová, Katarína Grešová, Tomas Majtner, Panagiotis Alexiou
Transfer Learning Allows Accurate RBP Target Site Prediction with Limited Sample Sizes. Biology 12 (10) (2023)
Katarína Grešová, Ondřej Vaculík, Panagiotis Alexiou
Using Attribution Sequence Alignment to Interpret Deep Learning Models for miRNA Binding Site Prediction. Biology 12 (3) (2023)
Eva Klimentová, Václav Hejret, Ján Krčmář, Katarína Grešová, Ilektra-Chara Giassa, Panagiotis Alexiou
miRBind: A Deep Learning Method for miRNA Binding Classification. Genes 13 (12) (2022)
Katarína Grešová, Panagiotis Alexiou, Ilektra-Chara Giassa
Small RNA Targets: Advances in Prediction Tools and High-Throughput Profiling. Biology 11 (12) (2022)
Eva Klimentová, Václav Hejret, Ján Krčmář, Katarína Grešová, Ilektra-Chara Giassa, Panagiotis Alexiou
miRBind: A Deep Learning Method for miRNA Binding Classification. Genes 13 (12) (2022)
Eva Klimentová, Václav Hejret, Ján Krčmář, Katarína Grešová, Ilektra-Chara Giassa, Panagiotis Alexiou
miRBind: A Deep Learning Method for miRNA Binding Classification. Genes 13 (12) (2022)
Eva Klimentová, Václav Hejret, Ján Krčmář, Katarína Grešová, Ilektra-Chara Giassa, Panagiotis Alexiou
miRBind: A Deep Learning Method for miRNA Binding Classification. Genes 13 (12) (2022)
Katarína Grešová, Panagiotis Alexiou, Ilektra-Chara Giassa
Small RNA Targets: Advances in Prediction Tools and High-Throughput Profiling. Biology 11 (12) (2022)