Student Symposium -Abstracts selected for posters - Single Nucleotide Polymorphisms are the most common type of genetic variations in humans and can be responsible for genetic diseases. We analyzed non-synonymous coding SNPs and developed a method based on support vector machines that starting from sequence information can predict if a single point mutation is polymorphism-related or disease-related

Prediction of the insurgence of human genetic diseases due to single point protein mutation

CALABRESE, REMO;CAPRIOTTI, EMIDIO;FARISELLI, PIERO;CASADIO, RITA
2005

Abstract

Student Symposium -Abstracts selected for posters - Single Nucleotide Polymorphisms are the most common type of genetic variations in humans and can be responsible for genetic diseases. We analyzed non-synonymous coding SNPs and developed a method based on support vector machines that starting from sequence information can predict if a single point mutation is polymorphism-related or disease-related
2005
Proceedings of the " 4th European Conference on Computational Biology, ECCB '05/jbi '05 "
155
155
Calabrese R.; Capriotti E.; Fariselli P.; Casadio R.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/18952
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