From d9b89bd5f51fc6b06e7fb4c1506db63b6a6d4f4a Mon Sep 17 00:00:00 2001 From: Aaron Wolen Date: Tue, 19 Sep 2023 16:31:24 -0500 Subject: [PATCH] Minor typo in recent blog post (#774) --- docs/articles/2023/20230919-out_of_core_methods.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/articles/2023/20230919-out_of_core_methods.md b/docs/articles/2023/20230919-out_of_core_methods.md index 54fe139c0..fc9522f12 100644 --- a/docs/articles/2023/20230919-out_of_core_methods.md +++ b/docs/articles/2023/20230919-out_of_core_methods.md @@ -91,7 +91,7 @@ This is usually the first pre-processing step necessary for other downstream tas The Census algorithm is based on the scanpy method `scanpy.pp.highly_variable_genes`, and in particular the Seurat V3 method, which is designed for raw counts and can account for batch effects. -The Census implementation utilizes the same incremental paradigm used in `cellxgene_census.experimental.pp.mean_variance` (see above), calculating incremaental-based mean and variance accumulators with some tweaks to comply to the Seurat V3 method. +The Census implementation utilizes the same incremental paradigm used in `cellxgene_census.experimental.pp.mean_variance` (see above), calculating incremental-based mean and variance accumulators with some tweaks to comply to the Seurat V3 method. ### Example: Finding highly variable genes for all cells of the human esophagus