SC transform task performs the normalization method of R package sctransform [1]

We recommend perform performing sctransform normalization on single cell row count data node. Select SCTransfrom task in Normalization and scaling section on the pop-up menu to invoke the dialog (Figure 1)

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By default, it will generate report on all the input features. When uncheck Unchecking the Report all features, user can specify a certain number of features with highest variance in the report.

In the Advanced option, when users can the click Configure to change the default settings (Figure 2)

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Features for parameter estimation: Specify number of features to use in estimation of parameters, 0 means to use all input features

Center results: when choose When set to Yes, center all the transformed features to have mean as 0

Clip results: If not clip the resultthis is set to No, outliers might have big effect and the transformed data can be very large for some features, usually the ones with few non-zero counts. When choose set to Yes, the range to clip the transformed data is between -sqrt(n/30) and sqrt(n/30), n is the number of cells

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