“Celda” stands for “CEllular Latent Dirichlet Allocation”. It is a suite of Bayesian hierarchical models and supporting functions to perform bi-clustering of features and cells for single-cell genomic data. This algorithm is an extension of the Latent Dirichlet Allocation (LDA) topic modeling framework that has been popular in text mining applications.

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