Cargando…
NPEBseq: nonparametric empirical bayesian-based procedure for differential expression analysis of RNA-seq data
BACKGROUND: RNA-seq, a massive parallel-sequencing-based transcriptome profiling method, provides digital data in the form of aligned sequence read counts. The comparative analyses of the data require appropriate statistical methods to estimate the differential expression of transcript variants acro...
Autores principales: | Bi, Yingtao, Davuluri, Ramana V |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3765716/ https://www.ncbi.nlm.nih.gov/pubmed/23981227 http://dx.doi.org/10.1186/1471-2105-14-262 |
Ejemplares similares
-
Comparative evaluation of isoform-level gene expression estimation algorithms for RNA-seq and exon-array platforms
por: Dapas, Matthew, et al.
Publicado: (2017) -
IsoformEx: isoform level gene expression estimation using weighted non-negative least squares from mRNA-Seq data
por: Kim, Hyunsoo, et al.
Publicado: (2011) -
Modeling and cleaning RNA-seq data significantly improve detection of differentially expressed genes
por: Deyneko, Igor V., et al.
Publicado: (2022) -
LFCseq: a nonparametric approach for differential expression analysis of RNA-seq data
por: Lin, Bingqing, et al.
Publicado: (2014) -
Evaluation of data discretization methods to derive platform independent isoform expression signatures for multi-class tumor subtyping
por: Jung, Segun, et al.
Publicado: (2015)