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 R.; Capriotti E.; Fariselli P.; Casadio R.. - STAMPA. - (2005), pp. 155-155. (Intervento presentato al convegno 4th European Conference on Computational Biology, ECCB '05/jbi '05 tenutosi a Instituto Nacional de Bioinformatica (INB), Madrid (Spagna) nel 28/09-1/10 2005).
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-relatedI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.