Journal: Nature Methods
Article Title: Inferring allele-specific copy number aberrations and tumor phylogeography from spatially resolved transcriptomics
doi: 10.1038/s41592-024-02438-9
Figure Lengend Snippet: a , b , Accuracy ( a ) and spatial coherence ( b ) comparison among CalicoST, Numbat, InferCNV and STARCH on CRC liver metastasis patient samples. Solid bars indicate predictions of allele-specific copy number states, and dotted bars indicate predictions of total copy number states. c , H&E image of a CRC liver metastasis sample HT260C1. d , Cancer clones inferred by CalicoST. x and y axes are spatial coordinates, and the grayscale represents the proportion of normal cells within each spot, as inferred by RCTD. Other colors indicate cancer clones. e , Cancer clones inferred by Numbat using the same color scheme as in d .
Article Snippet: We applied CalicoST to infer allele-specific copy numbers on 10x Genomics Visium Spatial Transcriptomics data from 12 patients (26 slices) in HTAN (WashU cohort) across three cancer types (‘Running CalicoST on SRT data’).
Techniques: Comparison, Starch, Clone Assay