Stacked bar plot

Steps

1. From the explorer page, open the Stacked plot pop-up form the right.

2. Choose the primary and secondary variable. The primary variable will be shown on the x-axis and the secondary variable will be stacked on the plot.

3. You can customise the plot labels, size and grid from the options in the top bar. You can also download the current plot as an image.

4. Statistical data such as the p-values can be changed and downloaded as a table in a csv (comma-separated) file.

💡 Learn more about using stacked bar plot in Compositional Analysis

‍

Radar plot

Steps

1. From the explorer page, open the Radar plot pop-up form the right.

2. Add the list of genes or a gene set you would like to visualise on the radar plot.

3. You can view the expression of the gene list across clusters or any categories/groups imported to the dataset.

4. The radar plot allow you to add multiple gene lists simultaneously, thus you can visually compare the expression of specific groups of genes across clusters or conditions.

5. There are also options to customise the plot labels, axis, etc. from the top and the plot can be downloaded.

‍

Dot plot

The dot plot can be used to visualise the expression of genes or features across different clusters or groups.

Steps

1. From the explorer page, open the Dotplot pop-up form the right.

2. You can search for and add features to the dot plot.

3. The bulk editor can be used when you have a list of genes or features. The list of genes can be separated by commas or space.

4. The list of added features can be edited. You can also reorder the features from here and this order will be reflected on the dot plot as well!

5. You can also change the clusters or groups from any cell annotations or metadata that has been imported.

‍

Feature scatter plot

A feature scatter plot can be created using two features of interest. This can be used to find the relationship of two features in groups of single cells.

Steps

1. From the explorer page, click on the Scatter to open the feature scatter plot.

2. Using the search bar, add your two genes of interest on the x and y axis.

3. Each point on the scatter plot is a cell, coloured by the cluster or group it belongs to. The x and y axis indicate the expression values of the two features of interest.

4. You can also select cells from the plot using the lasso tools.

5. You can also change the colours of the cells to a different category of clusters or grouping.

‍

Bar plot

The bar plot can be used to visualise the quantity of cells expressing a feature across clusters or groups.

Steps

1. From the explorer page, use the feature search bar to select the feature of interest.

2. The bar plot will show by default the percentage of cells that expression a feature across the clusters.

_{💡 You can change the clusters on the x axis by selecting the category of groups of clusters under Group by.}

3. The plot can also be expanded for more options.

‍

Violin and Box plot

The violin and box plots visualise the distribution of expression values of a feature across different clusters or groups.

Steps

1. From the explorer page, select the feature of interest from the feature search bar.

2. You can expand the plot section for violin and box for more plot options. You can also switch between violin and plot conveniently, the plots only display the data in different styles of plots.

3. The plot visualises the distribution of expression values of a feature across different clusters or groups. The clusters or groups can be changed on the plot by selecting the category of choice under Group by from the explorer page.

‍

‍