The importance of study design for detecting differentially abundant features in high-throughput experiments

High-throughput assays, such as RNA-seq, to detect differential abundance are widely used. Variable performance across statistical tests, normalizations, and conditions leads to resource wastage and reduced sensitivity. EDDA represents a first, general design tool for RNA-seq, Nanostring, and metage...

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Detalles Bibliográficos
Autores principales: Luo, Huaien, Li, Juntao, Chia, Burton Kuan Hui, Robson, Paul, Nagarajan, Niranjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4253014/
https://www.ncbi.nlm.nih.gov/pubmed/25517037
http://dx.doi.org/10.1186/s13059-014-0527-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4253014/
https://www.ncbi.nlm.nih.gov/pubmed/25517037
http://dx.doi.org/10.1186/s13059-014-0527-7

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