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. 2017 Jul 12;33(14):i274–i282. doi: 10.1093/bioinformatics/btx268

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© The Author 2017. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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Fig. 4. — (a) Predicting the effect of splice factors. (a) Improvement in PSI prediction (% variance explained) for conditions involving splice factor KD/KO/OE, comparing BNN-UDC model with old target function (purple) to the new model (green). (b) Correlation scatter plots between predicted (y-axis) and measured (x-axis) dPSI for CELF1 Overexpression(OE) in mouse heart. Left, showing correlation to model predicted Overexpression dPSI. Right, showing correlation to in silico KD of CELF. (R: Pearson’s correlation coefficient, n = 2134 in both scatter plots)