Associated Papers
Missense and nonsense mutations and inhibitor development in patients with hemophilia A and B.
Karimi F et al.
Journal of Thrombosis and Thrombolysis, 2025
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_MOESM3_ESM.xlsx › Predictions___Clinical_reports
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
Spectrum and origin of mutations in sporadic cases of haemophilia A in China.
Lu Y et al.
Haemophilia : the Official Journal of the World Federation of Hemophilia, 2018
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
Factor VIII gene mutations profile in 148 Chinese hemophilia A subjects.
Xue F et al.
European Journal of Haematology, 2010
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