Cargando…
Discrete distributional differential expression (D(3)E) - a tool for gene expression analysis of single-cell RNA-seq data
BACKGROUND: The advent of high throughput RNA-seq at the single-cell level has opened up new opportunities to elucidate the heterogeneity of gene expression. One of the most widespread applications of RNA-seq is to identify genes which are differentially expressed between two experimental conditions...
Autores principales: | Delmans, Mihails, Hemberg, Martin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4772470/ https://www.ncbi.nlm.nih.gov/pubmed/26927822 http://dx.doi.org/10.1186/s12859-016-0944-6 |
Ejemplares similares
-
Modeling and cleaning RNA-seq data significantly improve detection of differentially expressed genes
por: Deyneko, Igor V., et al.
Publicado: (2022) -
ddSeeker: a tool for processing Bio-Rad ddSEQ single cell RNA-seq data
por: Romagnoli, Dario, et al.
Publicado: (2018) -
NPEBseq: nonparametric empirical bayesian-based procedure for differential expression analysis of RNA-seq data
por: Bi, Yingtao, et al.
Publicado: (2013) -
iSeqQC: a tool for expression-based quality control in RNA sequencing
por: Kumar, Gaurav, et al.
Publicado: (2020) -
EPIG-Seq: extracting patterns and identifying co-expressed genes from RNA-Seq data
por: Li, Jianying, et al.
Publicado: (2016)