Cargando…
multiDE: a dimension reduced model based statistical method for differential expression analysis using RNA-sequencing data with multiple treatment conditions
BACKGROUND: The growing complexity of biological experiment design based on high-throughput RNA sequencing (RNA-seq) is calling for more accommodative statistical tools. We focus on differential expression (DE) analysis using RNA-seq data in the presence of multiple treatment conditions. RESULTS: We...
Autores principales: | Kang, Guangliang, Du, Li, Zhang, Hong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4917940/ https://www.ncbi.nlm.nih.gov/pubmed/27334001 http://dx.doi.org/10.1186/s12859-016-1111-9 |
Ejemplares similares
-
Prediction With Dimension Reduction of Multiple Molecular Data Sources for Patient Survival
por: Kaplan, Adam, et al.
Publicado: (2017) -
A statistical score for assessing the quality of multiple sequence alignments
por: Ahola, Virpi, et al.
Publicado: (2006) -
Statistical method to compare massive parallel sequencing pipelines
por: Elsensohn, MH., et al.
Publicado: (2017) -
Dimension reduction and shrinkage methods for high dimensional disease risk scores in historical data
por: Kumamaru, Hiraku, et al.
Publicado: (2016) -
A statistical normalization method and differential expression analysis for RNA-seq data between different species
por: Zhou, Yan, et al.
Publicado: (2019)