Article

Identifying cellular-to-phenotype associations by elucidating hierarchical relationships in high-dimensional cytometry data

2021-07-09

Abstract excerpt

High-throughput single cell technologies hold the promise of discovering novel cellular relationships with disease. However, analytical workflows constructed for these technologies to associate cell proportions with disease often employ unsupervised clustering techniques that overlook the valuable hierarchical structures that have been used to define cell types. We present treekoR, a framework that empirically rec...

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Literature Corpus work: 5755e744-0071-5d99-9125-fe73df0470b1
DOI: 10.1101/2021.07.08.451609

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Identifying cellular-to-phenotype associations by elucidating hierarchical relationships in high-dimensional cytometry dataDOI 10.1101/2021.07.08.451609Read

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