Kernel density weighted loess normalization improves the performance of detection within asymmetrical data

BACKGROUND: Normalization of gene expression data has been studied for many years and various strategies have been formulated to deal with various types of data. Most normalization algorithms rely on the assumption that the number of up-regulated genes and the number of down-regulated genes are roug...

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Detalles Bibliográficos
Autores principales: Hsieh, Wen-Ping, Chu, Tzu-Ming, Lin, Yu-Min, Wolfinger, Russell D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3118355/
https://www.ncbi.nlm.nih.gov/pubmed/21631915
http://dx.doi.org/10.1186/1471-2105-12-222

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3118355/
https://www.ncbi.nlm.nih.gov/pubmed/21631915
http://dx.doi.org/10.1186/1471-2105-12-222

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