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vyepez88 avatar vyepez88 commented on June 27, 2024

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

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gevro avatar gevro commented on June 27, 2024

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.

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vyepez88 avatar vyepez88 commented on June 27, 2024

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.

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gevro avatar gevro commented on June 27, 2024

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.

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