Article

Unsupervised cellular phenotypic hierarchy enables spatial intratumor heterogeneity characterization, recurrence-associated microdomains discovery, and harnesses network biology from hyperplexed in-situ fluorescence images of colorectal carcinoma

2020-10-03

Abstract excerpt

LEAPH is an unsupervised machine le arning a lgorithm for characterizing in situ p henotypic h eterogeneity in tissue samples. LEAPH builds a phenotypic hierarchy of cell types, cell states and their spatial configurations. The recursive modeling steps involve determining cell types with low-ranked mixtures of factor analyzers and optimizing cell states with spatial regularization. We applied LEAPH to hyperple...

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Literature Corpus work: 6df7a24a-f722-5903-ac92-ca2dd40342f4
DOI: 10.1101/2020.10.02.322529

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Unsupervised cellular phenotypic hierarchy enables spatial intratumor heterogeneity characterization, recurrence-associated microdomains discovery, and harnesses network biology from hyperplexed in-situ fluorescence images of colorectal carcinomaDOI 10.1101/2020.10.02.322529Read

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