Application of a Computational Method for the Early Diagnosis of Prostate Cancer Using Proteomic Pattern Recognition

Application of a Computational Method for the Early Diagnosis of Prostate Cancer Using Proteomic Pattern Recognition

This paper presents a method based on the recognition of proteomic patterns for the early diagnosis of prostate cancer, using computational techniques, applied in the database of SELDI-TOF proteomic patterns. The method is based on classifying the individual as to the portability stage of prostate c...

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Bibliographic Details
Main Authors: Elzenir Montes, Lúcio Campos, Wesley Araujo, Ewaldo Santana, Claudyane Araujo
Format: Article
Language:English
Published: Universidade Aberta 2016-12-01
Series:Revista de Ciências da Computação
Subjects:
Independent component analysis
Prostate cancer
Support vector machine
Maximum relevance and minimum redundancy
Pattern Recognition
Online Access:http://lead.uab.pt/OJS/index.php/RCC/article/view/112/83

Internet

http://lead.uab.pt/OJS/index.php/RCC/article/view/112/83

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