Cargando…
Fused inverse-normal method for integrated differential expression analysis of RNA-seq data
BACKGROUND: Use of next-generation sequencing technologies to transcriptomics (RNA-seq) for gene expression profiling has found widespread application in studying different biological conditions including cancers. However, RNA-seq experiments are still small sample size experiments due to the cost....
Autores principales: | Prasad, Birbal, Li, Xinzhong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354357/ https://www.ncbi.nlm.nih.gov/pubmed/35931958 http://dx.doi.org/10.1186/s12859-022-04859-9 |
Ejemplares similares
-
An integrative method to normalize RNA-Seq data
por: Filloux, Cyril, et al.
Publicado: (2014) -
A scaling normalization method for differential expression analysis of RNA-seq data
por: Robinson, Mark D, et al.
Publicado: (2010) -
An iteration normalization and test method for differential expression analysis of RNA-seq data
por: Zhou, Yan, et al.
Publicado: (2014) -
Erratum: An iteration normalization and test method for differential expression analysis of RNA-seq data
por: Zhou, Yan, et al.
Publicado: (2014) -
A Hypothesis Testing Based Method for Normalization and Differential Expression Analysis of RNA-Seq Data
por: Zhou, Yan, et al.
Publicado: (2017)