Author

Ádám M. Nagy

Semmelweis UniversityORCID 0000-0002-7979-7184Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Assay:bulk RNA-seq· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Balázs GyőrffyiD· 2 shared Balázs LigetiiD· 1 shared Gyöngyi MunkácsyiD· 1 shared János SzebeniiD· 1 shared Sándor PongoriD· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 7 mutual co-author links

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2 shared papersBioinformatics

Balázs GyőrffyORCID

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2 papers

Recent·Most cited

Pancancer survival analysis of cancer hallmark genes

Ádám M. Nagy, Gyöngyi Munkácsy, Balázs Győrffy

This study analyzes the prognostic impact of cancer hallmark genes across 26 tumor types using RNA-seq and survival data from TCGA, identifying significant gene-expression associations with patient outcomes.

Scientific Reports · Mar 15, 2021Peer-reviewedBioinformatics

COVIDOUTCOME - Estimating COVID Severity Based on Mutation Signatures in the SARS-CoV-2 Genome

Ádám M. Nagy, Balázs Ligeti, János Szebeni, Sándor Pongor, Balázs Győrffy

The paper uses machine learning to link SARS-CoV-2 mutations to COVID-19 severity, identifying 26 mutations and achieving high classification accuracy.

Database · Jan 1, 2021Peer-reviewedBioinformatics