Article

Latent Dirichlet Allocation for Double Clustering (LDA-DC): Discovering patients phenotypes and cell populations within a single Bayesian framework

2022-06-06

Abstract excerpt

<h4>Background: </h4> Current clinical routines rely more and more on ``omics'' data such as flow cytometry data from host and sometimes microbiota. Cohorts variability in addition to patients' heterogeneity make any underlying structure of these high-dimensional difficult to understand. In order to patients stratification and diagnostics, there is an acute need to develop novel statistical machine learning method...

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Literature Corpus work: 51aee6ee-c4ca-5cac-abca-8106be5ae14e
DOI: 10.21203/rs.3.rs-1693183/v1

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