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MutPred Splice: machine learning-based prediction of exonic variants that disrupt splicing
We have developed a novel machine-learning approach, MutPred Splice, for the identification of coding region substitutions that disrupt pre-mRNA splicing. Applying MutPred Splice to human disease-causing exonic mutations suggests that 16% of mutations causing inherited disease and 10 to 14% of somat...
Wedi'i Gadw mewn:
| Prif Awduron: | , , , , , , , |
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| Fformat: | Artigo |
| Iaith: | Inglês |
| Cyhoeddwyd: |
BioMed Central
2014
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| Pynciau: | |
| Mynediad Ar-lein: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4054890/ https://ncbi.nlm.nih.gov/pubmed/24451234 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/gb-2014-15-1-r19 |
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