A variational Bayesian framework using Gaussian mixture models for probabilistic clustering of single-cell RNA-seq data, applied to neurogenesis and breast cancer with proposed misclustering rate and AUC metrics.
A statistical interpretation of spectral embedding: the generalised random dot product graph
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A Bayesian approach to model uncertainty in single-cell genomic data
A variational Bayesian framework using Gaussian mixture models for probabilistic clustering of single-cell RNA-seq data, applied to neurogenesis and breast cancer with proposed misclustering rate and AUC metrics.