Cargando…
The impact of quantile and rank normalization procedures on the testing power of gene differential expression analysis
BACKGROUND: Quantile and rank normalizations are two widely used pre-processing techniques designed to remove technological noise presented in genomic data. Subsequent statistical analysis such as gene differential expression analysis is usually based on normalized expressions. In this study, we fin...
Autores principales: | Qiu, Xing, Wu, Hulin, Hu, Rui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3660216/ https://www.ncbi.nlm.nih.gov/pubmed/23578321 http://dx.doi.org/10.1186/1471-2105-14-124 |
Ejemplares similares
-
Analysis of variance, normal quantile-quantile correlation and effective expression support of pooled expression ratio of reference genes for defining expression stability
por: Priyadarshi, Himanshu, et al.
Publicado: (2017) -
How to do quantile normalization correctly for gene expression data analyses
por: Zhao, Yaxing, et al.
Publicado: (2020) -
Super-delta: a new differential gene expression analysis procedure with robust data normalization
por: Liu, Yuhang, et al.
Publicado: (2017) -
Evaluation of Bias-Variance Trade-Off for Commonly Used Post-Summarizing Normalization Procedures in Large-Scale Gene Expression Studies
por: Qiu, Xing, et al.
Publicado: (2014) -
Decision processes by using bivariate normal quantile pairs
por: Das, N C
Publicado: (2015)