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When I run RunKNNPredict and CellCorHeatmap functions. Problems occured
For example, when I run the pancreas_sub and panc8_rename data
ht <- CellCorHeatmap(
srt_query = pancreas_sub, srt_ref = panc8_rename,
query_group = "SubCellType", ref_group = "celltype",
nlabel = 3, label_by = "row",
show_row_names = TRUE, show_column_names = TRUE
)
Predict cell type...
Error: No cell overlap between new meta data and Seurat object
In addition: Warning messages:
1: In PseudobulkExpression(object = object, pb.method = "average", :
Exponentiation yielded infinite values. data may not be log-normed.
2: In PseudobulkExpression(object = object, pb.method = "average", :
Exponentiation yielded infinite values. data may not be log-normed.
Why doesn't my data or sample data work?
Looking forward to your reply.
Thanks a lot bro
The text was updated successfully, but these errors were encountered:
When I run RunKNNPredict and CellCorHeatmap functions. Problems occured
For example, when I run the pancreas_sub and panc8_rename data
ht <- CellCorHeatmap(
srt_query = pancreas_sub, srt_ref = panc8_rename,
query_group = "SubCellType", ref_group = "celltype",
nlabel = 3, label_by = "row",
show_row_names = TRUE, show_column_names = TRUE
)
Predict cell type...
Error: No cell overlap between new meta data and Seurat object
In addition: Warning messages:
1: In PseudobulkExpression(object = object, pb.method = "average", :
Exponentiation yielded infinite values.
data
may not be log-normed.2: In PseudobulkExpression(object = object, pb.method = "average", :
Exponentiation yielded infinite values.
data
may not be log-normed.Why doesn't my data or sample data work?
Looking forward to your reply.
Thanks a lot bro
The text was updated successfully, but these errors were encountered: