Sufficient principal component regression for pattern discovery in transcriptomic data

MOTIVATION: Methods for the global measurement of transcript abundance such as microarrays and RNA-Seq generate datasets in which the number of measured features far exceeds the number of observations. Extracting biologically meaningful and experimentally tractable insights from such data therefore...

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Detalles Bibliográficos
Autores principales: Ding, Lei, Zentner, Gabriel E, McDonald, Daniel J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9194947/
https://www.ncbi.nlm.nih.gov/pubmed/35722206
http://dx.doi.org/10.1093/bioadv/vbac033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9194947/
https://www.ncbi.nlm.nih.gov/pubmed/35722206
http://dx.doi.org/10.1093/bioadv/vbac033

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