Python library to perform memory efficient cross-sample cell mapping using single cell transciptomics (scRNA-Seq) data
Project description
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Nabo
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.. image:: https://files.osf.io/v1/resources/3kvwp/providers/osfstorage/5b48b0fae3cf560010d4da56?action=download&version=1&view_only=7ce3329d8b48473f9afefc848bebb63a&direct
:width: 200
:align: left
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Nabo is a flexible Python package that allows projections of cells from one population to another using single-cell RNA-Seq data. Nabo works by setting one of the populations as a reference' and then maps cells from other populations ('targets') onto it. Nabo provides data implicit methods of verifying mapping quality, this allows users to clearly infer similarities between sub-populations across samples
Please refer to the `documentation <https://nabo.readthedocs.io>`__ to know more.
Nabo
=====
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.. image:: https://files.osf.io/v1/resources/3kvwp/providers/osfstorage/5b48b0fae3cf560010d4da56?action=download&version=1&view_only=7ce3329d8b48473f9afefc848bebb63a&direct
:width: 200
:align: left
:alt: Image
Nabo is a flexible Python package that allows projections of cells from one population to another using single-cell RNA-Seq data. Nabo works by setting one of the populations as a reference' and then maps cells from other populations ('targets') onto it. Nabo provides data implicit methods of verifying mapping quality, this allows users to clearly infer similarities between sub-populations across samples
Please refer to the `documentation <https://nabo.readthedocs.io>`__ to know more.
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