Author

Eliška Chalupová

Central European Institute of Technology

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

Frequent Co-Authors

Panagiotis AlexiouiD· 2 shared Andrea GrioniiD· 1 shared Filip Jozefov· 1 shared Fotis C. PlessasiD· 1 shared Georgios K. GeorgakilasiD· 1 shared Jakub Poláček· 1 shared Konstantinos G. LiakosiD· 1 shared Ondřej VaculíkiD· 1 shared

Activity by Year

2020-2022 · peak 1/yr

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9 top collaborators · 20 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

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BioinformaticsScientific ReportsPeer-reviewedJun 11, 2020

MuStARD: Deep Learning for intra- and inter-species scanning of functional genomic patterns

Georgios K. Georgakilas, Andrea Grioni, Konstantinos G. Liakos…·Panagiotis Alexiou

MuStARD is a deep learning framework that identifies functional genomic elements across species by integrating sequence, structure, and conservation patterns.

23 citations

humanmouse

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