Author

Attila Beleon

HUN-REN Szegedi Biológiai KutatóközpontORCID 0000-0002-6082-6088Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Cell Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

Ede MighiD· 2 shared Péter HorváthiD· 2 shared Ábel SzkalisityiD· 1 shared Amulya BaraliD· 1 shared András KristoniD· 1 shared Andreas MundiD· 1 shared Anna Pico-TomàsiD· 1 shared Csaba MolnáriD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersCell Biology

Ede MighORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 6, 2026

PanRes: A database of latent and acquired antimicrobial resistance allowing 3D-based protein homology search

Martina Vojtkova, Martynas Baltušis, Hannah-Marie Martiny…·Patrick Munk

PanRes is a curated database of antimicrobial resistance genes that uses structural clustering and HMMs to improve detection of resistance determinants in metagenomes.

DOI 10.64898/2026.06.22.733705

metagenomicsstatistical model

𝕏 PostBluesky

Cell BiologybioRxivPreprintApr 9, 2025

A Morpho-Proteomic Atlas of Mitosis at Sub-Minute Resolution

Ede Migh, Vivien Miczán, Frederik Post…·Péter Horváth

This study creates a high-resolution morpho-proteomic atlas of mitosis by decomposing it into 40 subsections and quantifying 4,350 proteins, revealing dynamic changes and links to cancer mutations.

2 citations

humanproteomics

𝕏 PostBluesky

BioinformaticsNature CommunicationsPeer-reviewedMay 5, 2021

Regression plane concept: analysing continuous cellular processes with machine learning

Ábel Szkalisity, Filippo Piccinini, Attila Beleon…·Péter Horváth

The paper introduces Regression Plane, a tool for continuous phenotypic analysis using machine learning without requiring class labels.

18 citations

machine learning (classical)

𝕏 PostBluesky