Closed gevro closed 1 month ago
Feel free to apply the filter in your pipeline if it helps; CNVkit is a toolkit. It's sometimes helpful to delete misbehaving bins from the reference profile (reference.cnn) where you see recurring false positives.
By default, the bins with lower "weight" will have less influence on the segmentation and segment means, and bins with a weight of 0.0 will be essentially ignored.
Hello, Single-cell capture data has a fair number of false positive calls, but the 'weight' column seems to do a good job at filtering them out.
Is it reasonable to use 'weight' as a filter? It seems to perform very well, so I'm curious why filtering on weight is not a standard option?