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CI-SpliceAI—Improving machine learning predictions of disease causing splicing variants using curated alternative splice sites
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Yaron Strauch ,
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Visualization, Writing – original draft
* E-mail: y.strauch@soton.ac.uk
Affiliations School of Human Development and Health, Faculty of Medicine, University of Southampton, Hampshire, United Kingdom, Vision, Learning and Control, Department of Electronics and Computer Science, Faculty of Engineering and Physical Sciences, University of Southampton, Hampshire, United Kingdom
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Jenny Lord,
Roles Conceptualization, Formal analysis, Supervision, Writing – review & editing
Affiliation School of Human Development and Health, Faculty of Medicine, University of Southampton, Hampshire, United Kingdom
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Mahesan Niranjan,
Roles Conceptualization, Supervision, Writing – review & editing
Affiliation Vision, Learning and Control, Department of Electronics and Computer Science, Faculty of Engineering and Physical Sciences, University of Southampton, Hampshire, United Kingdom
⨯ - Diana Baralle
https://orcid.org/0000-0003-0820-8319
CI-SpliceAI—Improving machine learning predictions of disease causing splicing variants using curated alternative splice sites
- Yaron Strauch,
- Jenny Lord,
- Mahesan Niranjan,
- Diana Baralle
- Published: June 3, 2022
- https://doi.org/10.1371/journal.pone.0269159