Author

Zsófia Rácz

Eötvös Loránd UniversityORCID 0000-0001-5116-2235Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:phylogenetics / evolution· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Adam B. RohrlachiD· 1 shared Albert ZinkiD· 1 shared Anders GötherströmiD· 1 shared Antónia MarcsikiD· 1 shared Attila P. KissiD· 1 shared Balázs TihanyiiD· 1 shared Bence GulyásiD· 1 shared Bence KovácsiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Adam B. RohrlachORCID

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2 papers

Recent·Most cited

BioinformaticsGeneticsPeer-reviewedFeb 26, 2026

Detecting and Quantifying Networks of Biological Kinship via Exponential Family Random Graph Models

Adam B. Rohrlach, Guido Alberto Gnecchi‐Ruscone, Zuzana Hofmanová…·Jonathan Tuke

The paper uses Exponential Family Random Graph Models to detect and quantify biological kinship networks in ancient human populations.

2 citationstop 4%

humanDNA methylation

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GeneticsbioRxivPreprintJan 19, 2022

Whole genome analysis sheds light on the genetic origin of Huns, Avars and conquering Hungarians

Zoltán Maróti, Endre Neparáczki, Oszkár Schütz…·Tibor Tőrők

This study analyzes whole-genome data from ancient populations to trace the genetic origins of Huns, Avars, and conquering Hungarians, identifying their immigrant cores and genetic links.

8 citations

whole-genome sequencingstatistical model

𝕏 PostBluesky