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Using an integrative machine learning approach utilising homology modelling to clinically interpret genetic variants: CACNA1F as an exemplar
Advances in DNA sequencing technologies have revolutionised rare disease diagnostics and have led to a dramatic increase in the volume of available genomic data. A key challenge that needs to be overcome to realise the full potential of these technologies is that of precisely predicting the effect o...
Autores principales: | Sallah, Shalaw R., Sergouniotis, Panagiotis I., Barton, Stephanie, Ramsden, Simon, Taylor, Rachel L., Safadi, Amro, Kabir, Mitra, Ellingford, Jamie M., Lench, Nick, Lovell, Simon C., Black, Graeme C. M. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7608274/ https://www.ncbi.nlm.nih.gov/pubmed/32313206 http://dx.doi.org/10.1038/s41431-020-0623-y |
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