Abstract
Haemophilia A is a genetic disease resulting from deficiency of factor VIII. The database of mutations causing haemophilia A has been developed by the world wide collaboration. In this study, we examined the relation between activity of factor VIII and the missense mutation by using Support Vector Machine (SVM). As parameters, we used four physical-chemical parameters of amino acids and a structural feature. As a result, we predicted the severity of haemophilia A by using SVM in A domains of factor VIII. The structural parameters influence the prediction in A domains.
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Aoki, K., Yamamori, K., Sakamoto, M., Furutani, H. (2013). SVM Analysis of Haemophilia A by Using Protein Structure. In: Lee, M., Hirose, A., Hou, ZG., Kil, R.M. (eds) Neural Information Processing. ICONIP 2013. Lecture Notes in Computer Science, vol 8227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42042-9_84
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DOI: https://doi.org/10.1007/978-3-642-42042-9_84
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