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@libscran

libscran

C++ libraries for single-cell analysis

C++ libraries for single-cell analysis

This organization contains bits and pieces of C++ code for single-cell analysis. Most of this was originally taken from the scran R package, with some refactoring to enable re-use outside of R.

Developers can check out the scran-cli repository to see how the various libscran components fit together. For actual analyses, users are referred to the R, Python or Javascript bindings.

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  1. umappp umapppPublic

    C++ port of the UMAP algorithm

    C++ 80 17

  2. irlba irlbaPublic

    A C++ port of the IRLBA algorithm, based on the C code in the R package.

    C++ 18 4

  3. qdtsne qdtsnePublic

    Quick-and-dirty t-SNE in C++

    C++ 12 3

  4. kmeans kmeansPublic

    K-means clustering in C++

    C++ 10 4

  5. scran.chan scran.chanPublic

    A slimmed down version of scran, based on the C++ library of the same name.

    R 10

  6. scranpy scranpyPublic

    Single-cell data analysis, from C++ to Python

    Python 10

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