Assessment of the predictive accuracy of five in silico prediction tools, alone or in combination, and two metaservers to classify long QT syndrome gene mutations
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Title
Assessment of the predictive accuracy of five in silico prediction tools, alone or in combination, and two metaservers to classify long QT syndrome gene mutations
Authors
Keywords
Long QT syndrome, Genetics, Ion channels, <em class=EmphasisTypeItalic >In silico</em> prediction tools
Journal
BMC Medical Genetics
Volume 16, Issue 1, Pages -
Publisher
Springer Nature
Online
2015-05-12
DOI
10.1186/s12881-015-0176-z
References
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