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
Crossref DOI link: https://doi.org/10.1186/s12881-015-0176-z
Published Online: 2015-05-13
Published Print: 2015-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Leong, Ivone US
Stuckey, Alexander
Lai, Daniel
Skinner, Jonathan R
Love, Donald R
License valid from 2015-05-13
Article History
Received: 3 November 2014
Accepted: 22 April 2015
First Online: 13 May 2015