Compute Statistics
Last updated
Last updated
This module enables users to plot the relationship between any 2 variables (genes) or observations. The plot type is automatically chosen based on the selection. For each combination, appropriate statistical computations are performed. A Standard Compute runtime is required.
The command form captures the information required to run the compute statistics analysis.
Subset (optional) - A data slice
Variable 1 (required) - A gene or observation present in the dataset
Variable 2 (required) - A gene or observation present in the dataset
Color / Grouping (optional) - An observation used to group the values
Drop cells/samples with zero counts - Applies only to genes. Removes all entries with zero counts to prevent skewing the plot.
Gene v. Gene
Scatter plot
Gene v. Cont. Observation
Scatter plot
Gene v. Categ. Observation
Box plot
Cont. Obs. vs Cont. Obs
Scatter plot
Cont. Obs vs Categ. Obs
Box plot
Categ. Obs vs Categ. Obs
Matrix plot
Results can be displayed in either a tile view or a grid view. Use the buttons next to the search bar to toggle the mode.
The quick search bar is visible only for tile view and it offers an easy way to get to any result. The name of the result is used for searching.
Each result in the tile view is a static plot generated based on the types of variables inputted.
Each row in the grid represents a result. To view a result, click on a row.
The compute statistics result page contains 2 or 3 tabs, depending on the types of variables chosen.
Present for all results. Refer to the combinations table to see what plot types get generated.
Available only for continuous vs categorical results.
Available only for continuous vs categorical results.
Available only for continuous vs continuous results.
Available only for continuous vs continuous results.
Available only for categorical vs categorical results.
Correlation,
Correlation,
,
Correlation,
,
