SKU/Artículo: AMZ-B0G2XJPZXM

Specialized Python/R Spatial Data Niches: A Cross-Language Reference Guide for Spatial Transcriptomics, Cellular Niche Detection, and Hybrid Computational Workflows

Disponibilidad:
En stock
Peso con empaque:
0.46 kg
Devolución:
Condición
Nuevo
Producto de:
Amazon

Sobre este producto
  • Build cross-language environments using RPy2, reticulate, and unified Conda/R setups
  • Convert data between AnnData and Seurat objects
  • Reproduce SPIAT niche detection techniques in Python
  • Perform spatial clustering, neighborhood graph analysis, and co-localization studies
  • Run ligand–receptor interaction workflows in hybrid pipelines
  • Compute spatial statistics including Moran’s I, Geary’s C, and Ripley’s K
  • Build reproducible end-to-end workflows for spatial transcriptomics datasets
  • Develop new Python modules to fill ecosystem gaps
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AR$35.894
31% OFF
AR$24.749

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