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SydneyBioX · Aug 26, 2024 · 78ef559 · 78ef559
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diff --git a/README.md b/README.md
@@ -27,7 +27,7 @@ devtools::install_github("SydneyBioX/scFeatures")
 
 
 scFeatures can be run using one line of code 
-`scfeatures_result <- scFeatures(data)`
+`scfeatures_result <- scFeatures(data = data, sample = sample, celltype = celltype)`
 which generates a list of dataframes containing all feature types in the form of samples x features.
 
 Currently, scFeatures support scRNA-seq, spatial proteomics and spatial transcriptomics.