Article

Supervised dimensionality reduction for exploration of single-cell data by Hybrid Subset Selection - Linear Discriminant Analysis

2022-01-06

Abstract excerpt

Single-cell technologies generate large, high-dimensional datasets encompassing a diversity of omics. Dimensionality reduction enables visualization of data by representing cells in two-dimensional plots that capture the structure and heterogeneity of the original dataset. Visualizations contribute to human understanding of data and are useful for guiding both quantitative and qualitative analysis of cellular rela...

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Literature Corpus work: 9c721e4b-1bb3-5a4f-a3f1-74553e7d71fa
DOI: 10.1101/2022.01.06.475279

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