VarnaOps
Methods

Reference models

The models this service runs, one per reference atlas.

Each row is one reference: the model that answers a run against it, the atlas it was trained on, the build it came from, and the SHA-256 of the checkpoint itself. The studies each model was trained from are listed, with DOIs and licences, on the attribution page; each atlas report describes one reference in full. The models run as part of the service and are not distributed.

One model per reference

ReferenceModelCellsCell typesBuildModel fingerprint (SHA-256)Atlas report
Human blood & immunescANVI · scvi-tools 1.4.2 · 30 latents15,340,40520v1 · e9d75017acc805dbd1e71818aaf6a393798b8907338cc68d6ae7a8fe5051d9ddd508c4d2422aOpen
Human cortexscANVI · scvi-tools 1.4.2 · 30 latents6,477,42919v1 · 0ed05b1b23bbafffaf0787ebee15022f97cdd5d517ef05a8040a69aaefc4961807a9cf15eecfOpen
Human eyescANVI · scvi-tools 1.4.2 · 30 latents6,806,91836v1 · e9d75017acc85a273004d6ff9bc76700c45105a24d2d4e224eb7b536e013d974a01cfb70272eOpen
Human lungscANVI · scvi-tools 1.4.2 · 30 latents2,706,52647v1 · 0ed05b1b23bb5b2335aaa05d18b16526cb6a6b5cc39702eee24ef76bcf0e301e9c8cf29e549bOpen
Human gutscANVI · scvi-tools 1.4.2 · 30 latents1,680,01637v1 · e9d75017acc86df570e906dba5dba5c2abe9758028ccabc668fc4ddc0fc3cc96d26a01846937Open
Human breastscANVI · scvi-tools 1.4.2 · 30 latents2,406,75821v1 · e9d75017acc88e93f8a160f064f9ee8aa7871c9db453ac3e75842a1077cc2a3d382b3db19e63Open
Human heartscANVI · scvi-tools 1.4.2 · 30 latents2,487,52321v1 · e9d75017acc896e84412ba42cce507581ff0ff423e1dc7262c671902decc80ee1cf33323752bOpen
Human liverscANVI · scvi-tools 1.4.2 · 30 latents436,31516v1 · e9d75017acc8e34761c08c5842471cfc87a9cdb6fd94ddbffdca2249e374f0cfd4e1ead36664Open
Human kidneyscANVI · scvi-tools 1.4.2 · 30 latents421,10724v1 · e9d75017acc887b5ed41988b2af8a8e9f21608da699509ef585959c87482882c0d56769477a6Open
Human skinscANVI · scvi-tools 1.4.2 · 30 latents475,73126v1 · e9d75017acc85eee721f474f65143c47000465cffef6cac90babd8943328d6988eb3a65a66ceOpen
Human adiposescANVI · scvi-tools 1.4.2 · 30 latents413,16417v1 · e9d75017acc8392031bb2ea2181d28a8c1c531e751cc190e979595fde5af5572efbac6618935Open
Human musclescANVI · scvi-tools 1.4.2 · 30 latents445,60725v1 · e9d75017acc8eeccc5427e6170f4d55f9706ae89072a9ad9bfb21fe6581d9681f366a069da36Open
Human female reproductivescANVI · scvi-tools 1.4.2 · 30 latents525,60620v1 · e9d75017acc8b66ae3a2ee1aefe721bf58c99663f7eb0c864330a9faa3d7583e97bef4925fa4Open
Mouse brainscANVI · scvi-tools 1.4.2 · 30 latents2,949,38725v1 · e9d75017acc8037463fd0a9a2789b19b3f437b79d9cba8f7e9ab5a5ae6d9eb21bc399edc45f9Open
Mouse multi organscANVI · scvi-tools 1.4.2 · 30 latents4,804,87288v1 · c20c0f3b0235172598a3179b401806f593a4393183c20501cb33814523a7ba34722960aa7482Open
Human prefrontal cortexscANVI · scvi-tools 1.4.2 · 30 latents5,936,95855v1 · 8f5a9796b330471529bdab6ecb3b4f4c2b846e86009aadfbf4ed5ec9e574023de4d25baa15d3Open

Matching a run to its model

The fingerprint is what makes a run checkable without the file. Every analysis bundle records the SHA-256 of the checkpoint that produced it, beside the reference name, its version and the build commit, so two bundles can be shown to have used the same model byte for byte, and a bundle can be matched against the row above for the reference it names. If a model is ever replaced, this row changes with it: the table is generated from the checkpoints the service loads, so the fingerprint here is the one serving today.

Training data

CZ CELLxGENE Census, CC BY 4.0, attributed per study on the attribution page and in each build's manifest. We do not redistribute reference expression data.

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