Package index
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FindClustersCountsplit() - Runs a typical Seurat workflow on a Seurat object (up to dimensionality reduction and clustering).
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FindClustersRecall() - Runs a typical Seurat workflow on a Seurat object (up to dimensionality reduction and clustering).
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compute_knockoff_filter() - Returns the genes selected by the knockoff filter
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estimate_negative_binomial() - Maximum likelihood estimation for the negative binomial distribution.
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estimate_zi_poisson_copula()estimate_negative_binomial_copula()estimate_poisson_copula()estimate_gaussian_copula() - todo
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estimate_zi_poisson() - Maximum likelihood estimation for the zero-inflated Poisson distribution with Poisson parameter lambda and zero proportion prop.zero.
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get_seurat_obj_with_artificial_variables() - Returns a Seurat object that contains additional (fake) RNA expression counts.
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rzipoisson() - Random data generation for the zero-infalted Poisson distribution with Poisson parameter lambda and zero proportion prop.zero.
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seurat_workflow() - Runs a typical Seurat workflow on a Seurat object (up to dimensionality reduction and clustering).