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Optimal dimensionality selection for independent component analysis of transcriptomic data

BACKGROUND: Independent component analysis is an unsupervised machine learning algorithm that separates a set of mixed signals into a set of statistically independent source signals. Applied to high-quality gene expression datasets, independent component analysis effectively reveals both the source...

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Detalles Bibliográficos
Autores principales:	McConn, John Luke, Lamoureux, Cameron R., Poudel, Saugat, Palsson, Bernhard O., Sastry, Anand V.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2021
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8653613/ https://www.ncbi.nlm.nih.gov/pubmed/34879815 http://dx.doi.org/10.1186/s12859-021-04497-7

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