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minDeltaPsi default #49
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This parameter removes junctions with no (or little) variability as, anyway, no outliers will be detected on them, and the fit will be faster. I updated the default of drop init to 0.05 |
Is it possible if only 1 sample out of 100 samples is an outlier that mindeltaPsi - 0.05 will miss this abnormal sample splicing? That is an important situation not to miss for rare disease research. |
Yes, if all samples has a deltaPsi of 0 and 1 sample has a deltaPsi of 0.05, it can be called as an outlier. Nevertheless, a splicing defect of 0.05 might not be strong enough to cause a disease. Our deltaPsi cutoff for a junction to be significant is 0.3. Nevertheless, we left them as parameters so that users can adjust them as they prefer. |
I see. I was confused how mindeltaPsi is calculated. If it was an average across all samples, then one sample wouldn't be detected, but I guess it is calculated relative to single samples and not an average across all samples. |
The default config.yaml created by 'drop init' sets minDeltaPsi to 0. However your documentation says the default should be 0.05.
Which value should it be?
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