Select gene:
Experimental details:
We used public slide-seq data from mouse liver (https://science.sciencemag.org/content/363/6434/1463)for this analysis. Spot gene count data was transformed using PCA (principle component analysis) and UMAP (Uniform Manifold Approximation and Projection). Gene expression was visualized on the UMAP space.
Single Cell Data Analysis

Compare expression of genes from each slide-seq spot. Input a gene of interest to evaluate its expression among sample spots.

GENE : Nlk

Single Cell Data Information

Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution.
Science. 2019 Mar 29;363(6434):1463-1467. doi: 10.1126/science.aaw1219. Epub 2019 Mar 28.