Associated Papers
Prediction of hemophilia A severity using a small-input machine-learning framework.
Lopes TJS et al.
Npj Systems Biology and Applications, 2021
34035274 (PubMed )
Supplement: 41540_2021_183_MOESM2_ESM.xlsx › Training_Set
Compensated pathogenic variants in coagulation factors VIII and IX present complex mapping between molecular impact and hemophilia severity.
Marín Ò et al.
Scientific Reports, 2019
31267011 (PubMed )
Supplement: 41598_2019_45916_MOESM2_ESM.xlsx › Variants_used
MutPred Splice: machine learning-based prediction of exonic variants that disrupt splicing.
Mort M et al.
Genome Biology, 2014
24451234 (PubMed )
Supplement: gb-2014-15-1-r19-S1.pdf
Haemophilia A mutations in the UK: results of screening one-third of the population.
Green PM et al.
British Journal of Haematology, 2008
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