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Panagiotis Alexiou

Showing results (11-20 of 45) with videos related to

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RNA (New York, N.Y.)|February 8, 2013
FUS regulates genes coding for RNA-binding proteins in neurons by binding to their highly conserved intronsTadashi Nakaya, Panagiotis Alexiou, Manolis Maragkakis, et al.
Biology|October 27, 2023
Transfer Learning Allows Accurate RBP Target Site Prediction with Limited Sample SizesOndřej Vaculík, Eliška Chalupová, Katarína Grešová, et al.
BMC Genomic Data|May 1, 2023
Genomic benchmarks: a collection of datasets for genomic sequence classificationKatarína Grešová, Vlastimil Martinek, David Čechák, et al.
Bioinformatics (Oxford, England)|January 31, 2012
Functional microRNA targets in protein coding sequencesMartin Reczko, Manolis Maragkakis, Panagiotis Alexiou, et al.
Bioinformatics (Oxford, England)|October 1, 2009
Lost in translation: an assessment and perspective for computational microRNA target identificationPanagiotis Alexiou, Manolis Maragkakis, Giorgos L Papadopoulos, et al.
Frontiers in Genetics|February 4, 2012
Accurate microRNA Target Prediction Using Detailed Binding Site Accessibility and Machine Learning on Proteomics DataMartin Reczko, Manolis Maragkakis, Panagiotis Alexiou, et al.
BMC Genomics|April 1, 2022
ENNGene: an Easy Neural Network model building tool for GenomicsEliška Chalupová, Ondřej Vaculík, Jakub Poláček, et al.
F1000Research|February 6, 2025
RBP-Tar - a searchable database for experimental RBP binding sitesKatarina Gresova, Tomas Racek, Vlastimil Martinek, et al.
Bioinformatics (Oxford, England)|July 15, 2025
miRBench: novel benchmark datasets for microRNA binding site prediction that mitigate against prevalent microRNA frequency class biasStephanie Sammut, Katarina Gresova, Dimosthenis Tzimotoudis, et al.
Genes|December 23, 2022
miRBind: A Deep Learning Method for miRNA Binding ClassificationEva Klimentová, Václav Hejret, Ján Krčmář, et al.
Pageof 5

Showing results (11-20 of 45) with videos related to

Sort By:
Pageof 5
RNA (New York, N.Y.)|February 8, 2013
FUS regulates genes coding for RNA-binding proteins in neurons by binding to their highly conserved intronsTadashi Nakaya, Panagiotis Alexiou, Manolis Maragkakis, et al.
Biology|October 27, 2023
Transfer Learning Allows Accurate RBP Target Site Prediction with Limited Sample SizesOndřej Vaculík, Eliška Chalupová, Katarína Grešová, et al.
BMC Genomic Data|May 1, 2023
Genomic benchmarks: a collection of datasets for genomic sequence classificationKatarína Grešová, Vlastimil Martinek, David Čechák, et al.
Bioinformatics (Oxford, England)|January 31, 2012
Functional microRNA targets in protein coding sequencesMartin Reczko, Manolis Maragkakis, Panagiotis Alexiou, et al.
Bioinformatics (Oxford, England)|October 1, 2009
Lost in translation: an assessment and perspective for computational microRNA target identificationPanagiotis Alexiou, Manolis Maragkakis, Giorgos L Papadopoulos, et al.
Frontiers in Genetics|February 4, 2012
Accurate microRNA Target Prediction Using Detailed Binding Site Accessibility and Machine Learning on Proteomics DataMartin Reczko, Manolis Maragkakis, Panagiotis Alexiou, et al.
BMC Genomics|April 1, 2022
ENNGene: an Easy Neural Network model building tool for GenomicsEliška Chalupová, Ondřej Vaculík, Jakub Poláček, et al.
F1000Research|February 6, 2025
RBP-Tar - a searchable database for experimental RBP binding sitesKatarina Gresova, Tomas Racek, Vlastimil Martinek, et al.
Bioinformatics (Oxford, England)|July 15, 2025
miRBench: novel benchmark datasets for microRNA binding site prediction that mitigate against prevalent microRNA frequency class biasStephanie Sammut, Katarina Gresova, Dimosthenis Tzimotoudis, et al.
Genes|December 23, 2022
miRBind: A Deep Learning Method for miRNA Binding ClassificationEva Klimentová, Václav Hejret, Ján Krčmář, et al.
Pageof 5