What is it about?

Because single cell RNA-seq does not have labels of individual cells, in order to select genes we need unsupervised method that does not require sample labeling.

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Why is it important?

Genes selected by PCA based unsupervised FE is most biologically significant.

Perspectives

As a bioinformatics researcher, I developed PCA based unsupervised FE, that I applied to scRNA-seq.

Professor Y-h. Taguchi
Chuo Daigaku

Read the Original

This page is a summary of: Principal Component Analysis-Based Unsupervised Feature Extraction Applied to Single-Cell Gene Expression Analysis, January 2018, Springer Science + Business Media,
DOI: 10.1007/978-3-319-95933-7_90.
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