Author

Máté Csepi

Semmelweis University

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Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Organism:human· 1 Assay:protein sequence· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

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Gergely L. LukácsiD· 1 shared Hedvig TordaiiD· 1 shared Odalys TorresiD· 1 shared Rita PadányiiD· 1 shared Tamás HegedűsiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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1 shared paperBioinformatics

Gergely L. LukácsORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintOct 30, 2023

Lightway access to AlphaMissense data that demonstrates a balanced performance of this missense mutation predictor

Hedvig Tordai, Odalys Torres, Máté Csepi…·Tamás Hegedűs

The paper evaluates AlphaMissense's performance in predicting pathogenicity of missense variants across diverse protein groups and introduces a web resource for access.

6 citations

humanprotein sequence

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