Merging microarray studies to identify a common gene expression signature to several structural heart diseases

Merging microarray studies to identify a common gene expression signature to several structural heart diseases

Abstract Background Heart disease is the leading cause of death worldwide. Knowing a gene expression signature in heart disease can lead to the development of more efficient diagnosis and treatments that may prevent premature deaths. A large amount of microarray data is available in public repositor...

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Bibliographic Details
Main Authors: Olga Fajarda, Sara Duarte-Pereira, Raquel M. Silva, José Luís Oliveira
Format: Article
Language:English
Published: BMC 2020-07-01
Series:BioData Mining
Subjects:
Heart disease
Random forest
Gene expression signature
Microarray data
Online Access:http://link.springer.com/article/10.1186/s13040-020-00217-8

Internet

http://link.springer.com/article/10.1186/s13040-020-00217-8

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