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Hi, Thank you for SCEPTRE. It has helped me immensely to analyze my high MOI perturb-seq data! From my single cell run, I have some cells that seemed to have bulked during the capture, that form a few low quality clusters in my UMAP when I analyze my cellranger output using Scanpy. Is there a way to eliminate certain low quality clusters by adding them as covariates in the SCEPTRE pipeline? I would appreciate an example code if so. |
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That's great to hear!
The best way to do this is to extract a (one-based) integer vector of indices of cells in low-quality clusters from Scanpy, and then to pass this to the |
Beta Was this translation helpful? Give feedback.
That's great to hear!
The best way to do this is to extract a (one-based) integer vector of indices of cells in low-quality clusters from Scanpy, and then to pass this to the
additional_cells_to_remove
argument of therun_qc()
function.