Type gene symbol for gene of interest for spatial plot
Spatial gene expression: Spatial plot
Spot information vs gene expression on reduced dimensions
in this section, users can visualise both Spot information and gene expression side-by-side on low-dimensional representions.Dimension Reduction
Coexpression of two genes on reduced dimensions
in this section, users can visualise the coexpression of two genes on low-dimensional representions.Dimension Reduction
Spot information / gene expression violin plot / box plot
in this section, users can visualise the gene expression or continuous Spot information (e.g. Number of UMIs / module score) across groups of Spots (e.g. libary / clusters).Gene expression bubbleplot / heatmap
in this section, users can visualise the gene expression patterns of multiple genes grouped by categorical Spot information (e.g. library / cluster).The normalised expression are averaged, log-transformed and then plotted.
Cell information vs gene expression on reduced dimensions
In this tab, users can visualise both cell information and gene expression side-by-side on low-dimensional representions.Dimension Reduction
Coexpression of two genes on reduced dimensions
In this tab, users can visualise the coexpression of two genes on low-dimensional representions.Dimension Reduction
Cell information / gene expression violin plot / box plot
In this tab, users can visualise the gene expression or continuous cell information (e.g. Number of UMIs / module score) across groups of cells (e.g. libary / clusters).Proportion / cell numbers across different cell information
In this tab, users can visualise the composition of single cells based on one discrete cell information across another discrete cell information. Usage examples include the library or cellcycle composition across clusters.Gene expression bubbleplot / heatmap
In this tab, users can 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.
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Corresponding authors:
Christian Damsgaard: cd@bio.au.dk
Lin Lin: lin.lin@biomed.au.dk
Copyright 2022 Steno Diabetes Center Aarhus (SDCA); Aarhus University
Created by DREAMlab, Department of Biomedicine, Aarhus University
Get in touch with us: lin.lin@biomed.au.dk
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