Normalization Using Weighted Negative Second Order Exponential Error Functions (NeONORM) Provides Robustness Against Asymmetries in Comparative Transcriptome Profiles and Avoids False Calls

Studies on high-throughput global gene expression using microarray technology have generated ever larger amounts of systematic transcriptome data. A major challenge in exploiting these heterogeneous datasets is how to normalize the expression profiles by inter-assay methods. Different non-linear and...

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Detalles Bibliográficos
Autores principales: Noth, Sebastian, Brysbaert, Guillaume, Benecke, Arndt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2006
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054038/
https://www.ncbi.nlm.nih.gov/pubmed/16970549
http://dx.doi.org/10.1016/S1672-0229(06)60021-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054038/
https://www.ncbi.nlm.nih.gov/pubmed/16970549
http://dx.doi.org/10.1016/S1672-0229(06)60021-1

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