Feature_selection_M3Drop: Selecting important features for the following analysis with...
In bm2-lab/scLearn: Learning for single cell assignment
Feature_selection_M3Drop R Documentation
Selecting important features for the following analysis with M3Drop package.
Description
M3Drop is a method to select genes with high dropout rate. Here, we use this method to select features for our following analysis.
Usage
Feature_selection_M3Drop(expression_profile, log_normalized = TRUE, threshold = 0.05)
Arguments
expression_profile
A dataframe showing the expression profile. The row is gene and The column is sample.
log_normalized
TRUE by default. If TRUE, it means the data has been logNormalized before.
threshold
The threshold to select significant genes. Default is 0.05.
Value
A vecter showing the selected gene names.
Author(s)
Bin Duan
bm2-lab/scLearn documentation built on Dec. 17, 2024, 8:18 p.m.
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| Feature_selection_M3Drop | R Documentation |
Selecting important features for the following analysis with M3Drop package.
Description
M3Drop is a method to select genes with high dropout rate. Here, we use this method to select features for our following analysis.
Usage
Feature_selection_M3Drop(expression_profile, log_normalized = TRUE, threshold = 0.05)
Arguments
expression_profile |
A dataframe showing the expression profile. The row is gene and The column is sample. |
log_normalized |
TRUE by default. If TRUE, it means the data has been logNormalized before. |
threshold |
The threshold to select significant genes. Default is 0.05. |
Value
A vecter showing the selected gene names.
Author(s)
Bin Duan
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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