From 9e3ed1bb61b52d84ecae4d422df87de77439ea8a Mon Sep 17 00:00:00 2001 From: Yichen Wang Date: Sat, 16 Mar 2024 10:59:52 -0400 Subject: [PATCH] fix typo --- vignettes/articles/Integrating_multi_scRNA_data.rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vignettes/articles/Integrating_multi_scRNA_data.rmd b/vignettes/articles/Integrating_multi_scRNA_data.rmd index 58393aec..9d4511d2 100644 --- a/vignettes/articles/Integrating_multi_scRNA_data.rmd +++ b/vignettes/articles/Integrating_multi_scRNA_data.rmd @@ -87,7 +87,7 @@ To visualize the clustering of cells graphically, we can project the normalized pbmcLiger <- runUMAP(pbmcLiger, n_neighbors = 30, min_dist = 0.3) ``` ->Starting from rliger 2.0.0, dimensionality reduction matrices will be stored in cell metadata, which can be accessed with `cellMeta(pbmcLiger)`. Use argument `dimredName` to specify unique variable names for the result can enable storing multiple low-dimensional representation matrices as variables at the same time. +>Starting from rliger 2.0.0, the slot for storing dimensionality reduction matrices will be renamed to "dimReds". It will be a list that can hold multiple low dimensional matrices that match to the dataset by cell identifiers. Users can access individual matrix with `dimRed(object, "name")`. Use argument `dimredName` to specify unique names for the UMAP result so that it allows storing multiple low-dimensional representation matrices at the same time. ### 7. Create plots