L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Productivité · SKILL.md

multimodal-and-spatial

multimodal-and-spatial

Route scvi-tools tasks involving multimodal, ATAC, spatial, methylation, velocity, perturbation, contrastive, and external specialized model families.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: multimodal-and-spatial description: "Route scvi-tools tasks involving multimodal, ATAC, spatial, methylation, velocity, perturbation, contrastive, and external specialized model families." disable-model-invocation: true metadata: disco-role: operating license: BSD 3-Clause

multimodal-and-spatial

Use this sub-skill when a user needs scvi-tools guidance for non-basic single-cell models beyond core RNA-only workflows: CITE-seq, RNA+protein, RNA+ATAC, ATAC-only, methylation, spatial mapping/deconvolution, velocity, perturbation/contrastive analysis, or external specialized models.

Route by task

  • RNA + protein CITE-seq: use scvi.model.TOTALVI; for semi-supervised labels with protein, use scvi.external.TOTALANVI.
  • RNA + ATAC or RNA + ATAC + protein with partial modality overlap: use scvi.model.MULTIVI on MuData; for ATAC-only use scvi.model.PEAKVI.
  • Spatial mapping or deconvolution: consider scvi.external.Tangram, scvi.external.RNAStereoscope, and scvi.external.SpatialStereoscope; verify reference labels before choosing Stereoscope.
  • Bisulfite/methylation: use scvi.external.METHYLVI or scvi.external.METHYLANVI depending on whether labels are needed.
  • Dynamics, perturbation, and contrastive designs: use scvi.external.VELOVI, MRVI, RESOLVI, ContrastiveVI, SysVI, DIAGVI, or Decipher only after matching their required data keys.
  • Specialized external models: use CYTOVI, SCAR, SCBASSET, GIMVI, or Tangram when their input assumptions match; expect optional extras for some workflows.

Use the references

Boundaries

  • For ordinary AnnData registration, setup_anndata, count layers, batches, labels, covariates, and MuData basics, route to the data-setup sub-skill first.
  • For choosing among core RNA-only models such as SCVI, SCANVI, LinearSCVI, AUTOZI, or SOLO, route to the core-models sub-skill.
  • Do not assume optional packages for spatial plotting, genomic sequence models, or external integrations are installed unless imports prove it.
Skills enregistrées