Cross-platform normalization of microarray and RNA-seq data for machine learning applications

Large, publicly available gene expression datasets are often analyzed with the aid of machine learning algorithms. Although RNA-seq is increasingly the technology of choice, a wealth of expression data already exist in the form of microarray data. If machine learning models built from legacy data ca...

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Detalles Bibliográficos
Autores principales: Thompson, Jeffrey A., Tan, Jie, Greene, Casey S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2016
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4736986/
https://www.ncbi.nlm.nih.gov/pubmed/26844019
http://dx.doi.org/10.7717/peerj.1621

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4736986/
https://www.ncbi.nlm.nih.gov/pubmed/26844019
http://dx.doi.org/10.7717/peerj.1621

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