robustica: customizable robust independent component analysis

robustica: customizable robust independent component analysis

Abstract 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. Existi...

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Bibliographic Details
Main Authors: Miquel Anglada-Girotto, Samuel Miravet-Verde, Luis Serrano, Sarah A. Head
Format: Article
Language:English
Published: BMC 2022-12-01
Series:BMC Bioinformatics
Subjects:
Bioinformatics
Independent component analysis
Clustering
Unsupervised learning
Low-grade glioma
Python
Online Access:https://doi.org/10.1186/s12859-022-05043-9

Internet

https://doi.org/10.1186/s12859-022-05043-9

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