Detección de mutaciones en microarreglo de oligonucleótidos mediante máquina de vector de soporte multiclase

Translated title of the contribution: Detection of oligonucleotide microarray mutations by multiclass support vector machine

Luis Palma-Ttito, Luis Holgado-Apaza, Rick Ccapa-Luque, Edson Canaza-Canqui, Víctor Manuel Cornejo Aparicio

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents the process carried out to obtain the best configuration found for the multiclass support vector machine that allows classifying the mutations present in a set of oligonucleotide microarrays. The proposed solution consists of five phases and we give scope to each phase: obtaining samples, quality control, pre-processing, gene selection and detection of mutations. The samples used were obtained from the biological database GEO-NBCI (Gene Expression Omnibus-National Center for Biotechnology Information), which belong to individuals with the presence of different types of cancer, obtaining 87% accuracy on average for different samples.

Translated title of the contributionDetection of oligonucleotide microarray mutations by multiclass support vector machine
Original languageSpanish
Pages (from-to)643-657
Number of pages15
JournalRISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
Volume2021
Issue numberE39
StatePublished - Jan 2021

Bibliographical note

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© 2021, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.

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