satijalab · mojaveazure · Jun 11, 2021 · Apr 30, 2021 · May 25, 2021 · May 26, 2021
diff --git a/vignettes/integration_mapping.Rmd b/vignettes/integration_mapping.Rmd
@@ -126,7 +126,7 @@ After finding anchors, we use the `TransferData()` function to classify the quer
 
 ```{r label.transfer, warning = FALSE, message = FALSE}
 pancreas.query <- pancreas.list[["fluidigmc1"]]
-pancreas.anchors <- FindTransferAnchors(reference = pancreas.integrated, query = pancreas.query, dims = 1:30)
+pancreas.anchors <- FindTransferAnchors(reference = pancreas.integrated, query = pancreas.query, dims = 1:30, reference.reduction = "pca")
 predictions <- TransferData(anchorset = pancreas.anchors, refdata = pancreas.integrated$celltype, dims = 1:30)
 pancreas.query <- AddMetaData(pancreas.query, metadata = predictions)
 ```

diff --git a/vignettes/vignettes.yaml b/vignettes/vignettes.yaml
@@ -210,3 +210,9 @@
       citation: La Manno et al, Nature 2018
       source: https://velocyto.org
 
+    - name: CIPR
+      title: Using CIPR with human PBMC data
+      link: http://htmlpreview.github.io/?https://github.com/satijalab/seurat-wrappers/blob/master/docs/cipr.html
+      reference: https://doi.org/10.1186/s12859-020-3538-2
+      citation: Ekiz et. al., BMC Bioinformatics 2020
+      source: https://github.com/atakanekiz/CIPR-Package