Utility functions for data from single-cell experiments

The singlecellutils package provides auxillary functions to work with data from single cell RNAseq data.

Easy and versatile sample/feature filtering with filter_samples and filter_features
Implements TF-IDF weighting, e.g. for data from single-cell ATAC-seq
Provides easy access to new dimension reduction methods, like randomized SVD and UMAP
Provides access to the powerful hierarchical density-based clustering HDBSCAN
Most methods are suitable for magrittr pipelines

Install the latest development version from GitHub:

remotes::install_github("jenzopr/singlecellutils")

Please feel free to contribute to this project - either by opening an issue or a pull request.

The project is licensed under the MIT license.

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