Cell information and gene expression side-by-side on low-dimensional represention.
Two cell infos side-by-side on low-dimensional represention.
Visualise two gene expressions side-by-side on low-dimensional representions.
Explore gene expression on low-dimensional represention.
Visualise the coexpression of two genes on low-dimensional representions.
Visualise the gene expression or continuous cell information (e.g. Number of UMIs / module score) across groups of cells (e.g. libary / clusters).
Visualise the composition of single cells based on one discrete cell information across another discrete cell information.
Visualise the gene expression patterns of multiple genes grouped by categorical cell information (e.g. library / cluster). The normalised expression are averaged, log-transformed and then plotted.
This app was created using easyshiny. easyshiny is built on shinyCell
Ouyang, J. F., Kamaraj, U. S., Cao, E. Y., & Rackham, O. J. (2021). ShinyCell: simple and sharable visualization of single-cell gene expression data. Bioinformatics, 37(19), 3374-3376.