NAToRA, a relatedness-pruning method to minimize the loss of dataset size in genetic and omics analyses

Genetic and omics analyses frequently require independent observations, which is not guaranteed in real datasets. When relatedness cannot be accounted for, solutions involve removing related individuals (or observations) and, consequently, a reduction of available data. We developed a network-based...

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Detalles Bibliográficos
Autores principales: Leal, Thiago Peixoto, Furlan, Vinicius C, Gouveia, Mateus Henrique, Saraiva Duarte, Julia Maria, Fonseca, Pablo AS, Tou, Rafael, Scliar, Marilia de Oliveira, Araujo, Gilderlanio Santana de, Costa, Lucas F., Zolini, Camila, Peixoto, Maria Gabriela Campolina Diniz, Carvalho, Maria Raquel Santos, Lima-Costa, Maria Fernanda, Gilman, Robert H, Tarazona-Santos, Eduardo, Rodrigues, Maíra Ribeiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Method Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046962/
https://www.ncbi.nlm.nih.gov/pubmed/35521552
http://dx.doi.org/10.1016/j.csbj.2022.04.009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046962/
https://www.ncbi.nlm.nih.gov/pubmed/35521552
http://dx.doi.org/10.1016/j.csbj.2022.04.009

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