The example that jumps out most strongly to the eye is ExE endoderm,
which doesn’t show clear separate modes. Simultaneously, Endothelium
diff --git a/hca.html b/hca.html
index 5bdf738..58ebc49 100644
--- a/hca.html
+++ b/hca.html
@@ -269,7 +269,7 @@
Installation
Package load
HCA Metadata
-
A note on the piping operator
+
A note on the pipe operator
Summarizing the metadata
Columns available in the metadata
Available assays
@@ -338,7 +338,7 @@
Accessing data from the Human Cell Atlas (HCA)
-
Last updated on 2024-09-24 |
+
Last updated on 2024-09-30 |
Edit this page
@@ -484,7 +484,7 @@
OUTPUT<
$ sample_id_db <chr> "0c1d320a7d0cbbc281a535912722d272", …
$ `_sample_name` <chr> "BPH340PrSF_Via___transition zone of…
-A note on the piping operator
+A note on the pipe operator
The vignette materials provided by CuratedAtlasQueryR
show the use of the ‘native’ R pipe (implemented after R version
4.1.0
). For those not familiar with the pipe operator
@@ -630,9 +630,9 @@
Rsample_subset = metadata |>
filter(
ethnicity == "African" &
- stringr::str_like(assay, "%10x%") &
+ grepl("10x", assay) &
tissue == "lung parenchyma" &
- stringr::str_like(cell_type, "%CD4%")
+ grepl("CD4", cell_type)
)