Function reference • singlecellutils

Filtering Functions for filtering features or samples.
`filter_features()` `filter_samples()`	Functions to filter features or samples using `genefilter`.
`EpOverA()` `FanoOverA()` `MeanBelowA()` `MeanOverA()`	Basic filter functions
Dimension reduction Functions that provide dimension reduction techniques.
`reduce_dimension()`	Performs dimension reduction and adds results to the given input.
`randomized_svd()` `approximate_svd()`	Approximate or randomized singular value decomposition
`isomds()`	Conveinience function to run isoMDS on a SingleCellExperiment object.
`umap()`	Conveinience function to perform UMAP via reticulate.
Clustering Functions for clustering
`add_clustering()`	Add a clustering
`hdbscan()`	Conveinience function to perform HDBSCAN via reticulate.
Differential expression and accessibility Functions to perform DE analysis
`lrde_test()`	Tests differential expression/accessibility using logistic regression

Reference