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bio-machine-learning-atlas-mapping

Maintainer FreedomIntelligence · Last updated April 1, 2026

Map query cells to reference atlases with scANVI or Symphony.

OpenClawNanoClawDiscoveryReadingbio-machine-learning-atlas-mapping🧠 bioos extended suitebioos extended bioinformatics suitemap

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-machine-learning-atlas-mapping

Maintainer
FreedomIntelligence
License
MIT
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • adata_ref = sc.read_h5ad('reference.h5ad').
  • scvi.model.SCVI.setup_anndata(adata_ref, layer='counts', batch_key='batch') ref_model = scvi.model.SCVI.load('reference_model/', adata=adata_ref).

Source Doc

Excerpt From SKILL.md

scVI Reference Mapping (scArches)

import scvi
import scanpy as sc

## Prepare query data

adata_query = sc.read_h5ad('query.h5ad')

## Subset to reference genes

adata_query = adata_query[:, adata_ref.var_names].copy()

Use cases

  • Use bio-machine-learning-atlas-mapping for manuscript drafting and submission workflows.
  • Apply bio-machine-learning-atlas-mapping when polishing research communication outputs.

Not for

  • Do not treat this catalog entry as a substitute for the full upstream workflow.

Upstream Related Skills

  • single-cell/cell-annotation - Manual annotation methods
  • single-cell/batch-integration - Batch effect correction
  • single-cell/preprocessing - Data preparation before transfer

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