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Adapted tensor decomposition and PCA based unsupervised feature extraction select more biologically reasonable differentially expressed genes than conventional methods

Tensor decomposition- and principal component analysis-based unsupervised feature extraction were proposed almost 5 and 10 years ago, respectively; although these methods have been successfully applied to a wide range of genome analyses, including drug repositioning, biomarker identification, and di...

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Detalles Bibliográficos
Autores principales: Taguchi, Y-h., Turki, Turki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580456/
https://www.ncbi.nlm.nih.gov/pubmed/36261574
http://dx.doi.org/10.1038/s41598-022-21474-z