projectR: an R/Bioconductor package for transfer learning via PCA, NMF, correlation and clustering

MOTIVATION: Dimension reduction techniques are widely used to interpret high-dimensional biological data. Features learned from these methods are used to discover both technical artifacts and novel biological phenomena. Such feature discovery is critically importent in analysis of large single-cell...

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Shranjeno v:
Bibliografske podrobnosti
izdano v:Bioinformatics
Main Authors: Sharma, Gaurav, Colantuoni, Carlo, Goff, Loyal A, Fertig, Elana J, Stein-O’Brien, Genevieve
Format: Artigo
Jezik:Inglês
Izdano: Oxford University Press 2020
Teme:
Applications Notes
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC7267840/
https://ncbi.nlm.nih.gov/pubmed/32167521
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa183
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