Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data

BACKGROUND: Most ‘transcriptomic’ data from microarrays are generated from small sample sizes compared to the large number of measured biomarkers, making it very difficult to build accurate and generalizable disease state classification models. Integrating information from different, but related, ‘t...

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Detalles Bibliográficos
Autores principales: Ogoe, Henry A., Visweswaran, Shyam, Lu, Xinghua, Gopalakrishnan, Vanathi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4512094/
https://www.ncbi.nlm.nih.gov/pubmed/26202217
http://dx.doi.org/10.1186/s12859-015-0643-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4512094/
https://www.ncbi.nlm.nih.gov/pubmed/26202217
http://dx.doi.org/10.1186/s12859-015-0643-8

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