Author

Jakub Poláček

Masaryk University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 2 Research Focus:gene regulatory network inference· 2 Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:software / tool· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Panagiotis AlexiouiD· 2 shared Eliška Chalupová· 1 shared Eva KlimentováiD· 1 shared Filip Jozefov· 1 shared Ondřej VaculíkiD· 1 shared Petr ŠimečekiD· 1 shared Tomáš MajtneriD· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Panagiotis AlexiouORCID

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2 papers

Recent·Most cited

BioinformaticsBMC GenomicsPeer-reviewedMar 31, 2022

ENNGene: an Easy Neural Network model building tool for Genomics

Eliška Chalupová, Ondřej Vaculík, Jakub Poláček…·Panagiotis Alexiou

ENNGene is a tool that simplifies deep learning model building for genomics data, achieving state-of-the-art results on the RBP24 dataset by incorporating evolutionary conservation and custom network tuning.

10 citations

DNA methylationwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsFrontiers in GeneticsPeer-reviewedOct 27, 2020

PENGUINN: Precise Exploration of Nuclear G-quadruplexes Using Interpretable Neural Networks

Eva Klimentová, Jakub Poláček, Petr Šimeček, Panagiotis Alexiou

PENGUINN uses Convolutional Neural Networks to predict G-quadruplex forming sequences, outperforming existing methods.

42 citations

DNA methylationmachine learning (classical)

𝕏 PostBluesky