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https://github.com/genentech/scimilarity

A unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to represent new studies without additional training.
https://github.com/genentech/scimilarity

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A unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to represent new studies without additional training.

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SCimilarity
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**SCimilarity** is a unifying representation of single cell expression profiles
that quantifies similarity between expression states and generalizes to
represent new studies without additional training.

This enables a novel cell search capability, which sifts through millions of
profiles to find cells similar to a query cell state and allows researchers to
quickly and systematically leverage massive public scRNA-seq atlases to learn
about a cell state of interest.

Tutorials and API documentation can be found at:
https://genentech.github.io/scimilarity/index.html

Pretrained model weights, embeddings, kNN graphs, a single-cell metadata
can be downloaded from:
https://zenodo.org/records/10685499

A docker container with SCimilarity preinstalled can be pulled from:
https://ghcr.io/genentech/scimilarity