robustica: customizable robust independent component analysis

BACKGROUND: Independent Component Analysis (ICA) allows the dissection of omic datasets into modules that help to interpret global molecular signatures. The inherent randomness of this algorithm can be overcome by clustering many iterations of ICA together to obtain robust components. Existing algor...

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Detalles Bibliográficos
Autores principales: Anglada-Girotto, Miquel, Miravet-Verde, Samuel, Serrano, Luis, Head, Sarah A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9721028/
https://www.ncbi.nlm.nih.gov/pubmed/36471244
http://dx.doi.org/10.1186/s12859-022-05043-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9721028/
https://www.ncbi.nlm.nih.gov/pubmed/36471244
http://dx.doi.org/10.1186/s12859-022-05043-9

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