Variable Gene Selection Method
Use this option to select the method to calculate a subset of features that exhibit high cell-to-cell variation in the dataset. It has been reported that focusing on these genes in downstream analysis helps to highlight biological signal in single-cell datasets.
.Two methods are available:
Option: |
Description: |
Dispersion |
Dispersion method is based on the log(variance/mean) plot in the Seurat R package1. It uses a relatively simple method to calculate gene variation while controlling for the strong relationship between variability and average expression. |
VST |
VST (Variance-Stabilizing Transformation) uses Loess regression as a normalization method to control for the mean-variance relationship. It is also included in the the Seurat R package. |
Please see Stuart, T. et al. 2019. Comprehensive Integration of Single-Cell Data. Cell 177:1888-1902. for more information.
To Specify the Gene Selection Method:
8 | Select the method using the drop-down menu. |