Author

Sándor Miklós Szilágyi

Universitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu MureșORCID 0000-0002-5657-7365Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Organism:human· 1

Frequent Co-Authors

Daniel WegmanniD· 2 shared Aurélien TellieriD· 1 shared Beat WolfiD· 1 shared Christoph LeuenbergeriD· 1 shared Florence Parat· 1 shared Marco GalimbertiiD· 1 shared Matthieu FolliD· 1 shared

Activity by Year

2016-2020 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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2 shared papersGenomics

Daniel WegmannORCID

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2 papers

Recent·Most cited

GenomicsGeneticsPeer-reviewedOct 17, 2020

Detecting selection from linked sites using an F-model

Marco Galimberti, Christoph Leuenberger, Beat Wolf…·Daniel Wegmann

The paper extends the F-model to linked loci using a hidden Markov model to detect selection, showing increased statistical power and identifying selection in the human genome.

10 citations

humanstatistical model

GeneticsbioRxivPreprintDec 2, 2016

Joint inference of demography and mutation rates from polymorphism data and pedigrees

Florence Parat, Sándor Miklós Szilágyi, Daniel Wegmann, Aurélien Tellier

This paper develops a method to jointly infer demography and mutation rates using polymorphism data and pedigrees, showing accurate parameter estimation from small pedigrees.

DOI 10.1101/091090

statistical modelbenchmarking