Author

Jennifer M. Neyra

Universidade de São Paulo

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Approach:matrix factorization· 1 Research Focus:polygenic risk· 1 Approach:statistical model· 1

Frequent Co-Authors

Fernando Pacheco Nobre RossiiD· 1 shared José Eduardo KriegeriD· 1 shared José Salvatore Leister PatanéiD· 1 shared Rogério S. Rosa· 1 shared Samantha Kuwada TeixeiraiD· 1 shared Vinicius de Souza· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Fernando Pacheco Nobre RossiORCID

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1 paper

Recent·Most cited

GARSA: An integrative pipeline for genome wide association studies and polygenic risk score inference in admixed human populations

Fernando Pacheco Nobre Rossi, José Salvatore Leister Patané, Vinicius de Souza, Jennifer M. Neyra, Rogério S. Rosa, José Eduardo Krieger, Samantha Kuwada Teixeira

GARSA is a pipeline for GWAS and PRS analysis in admixed populations, incorporating bias correction and multiple analytical methods.

bioRxiv · May 3, 2023 · PreprintBioinformatics