Relationship between gene regulation network structure and prediction accuracy in high dimensional regression

The least absolute shrinkage and selection operator (lasso) and principal component regression (PCR) are popular methods of estimating traits from high-dimensional omics data, such as transcriptomes. The prediction accuracy of these estimation methods is highly dependent on the covariance structure,...

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Detalles Bibliográficos
Autores principales: Okinaga, Yuichi, Kyogoku, Daisuke, Kondo, Satoshi, Nagano, Atsushi J., Hirose, Kei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169869/
https://www.ncbi.nlm.nih.gov/pubmed/34075095
http://dx.doi.org/10.1038/s41598-021-90791-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169869/
https://www.ncbi.nlm.nih.gov/pubmed/34075095
http://dx.doi.org/10.1038/s41598-021-90791-6

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