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).