Disparities in spatially variable gene calling highlight the need for benchmarking spatial transcriptomics methods
Identifying spatially variable genes (SVGs) is a key step in the analysis of spatially resolved transcriptomics data. SVGs provide biological insights by defining transcriptomic differences within tissues, whi...
Source: Genome Biology - Category: Genetics & Stem Cells Authors: Natalie Charitakis, Agus Salim, Adam T. Piers, Kevin I. Watt, Enzo R. Porrello, David A. Elliott and Mirana Ramialison Tags: Short Report Source Type: research