I've been using Seurat (v4.0.0) along with PCAtools to analyze correlation networks derived from gene expression data. Previously, I had success with the following code snippet:
However, after updating to the latest version of Seurat, I encountered issues when running this code. Specifically, I received the following errors:
Warning: Data is of class matrix. Coercing to dgCMatrix.
Warning: No layers found matching search pattern provided
Error in `ScaleData()`:
! No layer matching pattern 'data' found. Please run NormalizeData and retry
Run `rlang::last_trace()` to see where the error occurred.
Warning: No layers found matching search pattern provided
Error in `PrepDR5()`:
! No layer matching pattern 'scale.data' not found. Please run ScaleData and retry
Run `rlang::last_trace()` to see where the error occurred.
Hi,
I've been using Seurat (v4.0.0) along with PCAtools to analyze correlation networks derived from gene expression data. Previously, I had success with the following code snippet:
However, after updating to the latest version of Seurat, I encountered issues when running this code. Specifically, I received the following errors:
thank you AD