Article

GigaSOM.jl: High-performance clustering and visualization of huge cytometry datasets

2020-08-04

Abstract excerpt

<h4>Background</h4> The amount of data generated in large clinical and phenotyping studies that use single-cell cytometry is constantly growing. Recent technological advances allow to easily generate data with hundreds of millions of single-cell data points with more than 40 parameters, originating from thousands of individual samples. The analysis of that amount of high-dimensional data becomes demanding in both...

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Literature Corpus work: 111169c2-62b5-5b72-b95b-82279990679f
DOI: 10.1101/2020.08.03.234187

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