Author

Guadalupe Nibeyro

Universidad Católica de CórdobaORCID 0000-0001-5428-6321Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Organism:human· 1

Frequent Co-Authors

Elmer A. FernándeziD· 1 shared Gabriel MoróniD· 1 shared Hugo Daniel LujániD· 1 shared Laura Beatriz PratoiD· 1 shared María Romina GirottiiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Elmer A. FernándezORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMar 14, 2022

MHC-I binding affinity derived metrics fail to predict tumor specific neoantigen immunogenicity

Guadalupe Nibeyro, María Romina Girotti, Laura Beatriz Prato…·Elmer A. Fernández

The paper benchmarks neoantigen immunogenicity predictors and finds that MHC-I binding affinity and its derived metrics are insufficient to predict immunogenicity or tumor neoantigen burden as biomarkers.

7 citations

humanbulk RNA-seq

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