Introduction

Spatial transcriptomics CNV analysis aims to use the inferCNV tool to infer copy number variations (CNVs) from spatial transcriptomics data, helping to reveal genomic variation characteristics in different regions of tissues. This method can be used to identify abnormal cell subpopulations in tissues such as tumors and assist in spatial heterogeneity studies.

• Applicable Scenarios: CNV inference and visualization for spatial transcriptomics and single-cell transcriptomics.

• Core Functions: Infers the CNV status of each spot/cell, outputs spatial heatmaps, and related statistical results.

Reference

• Patel, A. P., Tirosh, I., Trombetta, J. J., Shalek, A. K., Gillespie, S. M., Wakimoto, H., ... & Bernstein, B. E. (2014). Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma. Science, 344(6190), 1396-1401.