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Modeling bifurcations in single-cell transcriptomics data has become an increasingly popular field of research. Several methods have been proposed to infer bifurcation structure from such data, but all rely on heuristic non-probabilistic inference. Here University of Oxford researchers propose the ...
Read More »Probabilistic modeling of bifurcations in single-cell gene expression data using a Bayesian mixture of factor analyzers
