Enhancing SVM for survival data using local invariances and weighting
Abstract Background The necessity to analyze medium-throughput data in epidemiological studies with small sample size, particularly when studying biomedical data may hinder the use of classical statistical methods. Support vector machines (SVM) models can be successfully applied in this setting beca...
Main Authors: | Hector Sanz, Ferran Reverter, Clarissa Valim |
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Format: | Article |
Language: | English |
Published: |
BMC
2020-05-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-020-3481-2 |
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