Cargando…
DREAMSeq: An Improved Method for Analyzing Differentially Expressed Genes in RNA-seq Data
RNA sequencing (RNA-seq) has become a widely used technology for analyzing global gene-expression changes during certain biological processes. It is generally acknowledged that RNA-seq data displays equidispersion and overdispersion characteristics; therefore, most RNA-seq analysis methods were deve...
Autores principales: | Gao, Zhihua, Zhao, Zhiying, Tang, Wenqiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6284200/ https://www.ncbi.nlm.nih.gov/pubmed/30559761 http://dx.doi.org/10.3389/fgene.2018.00588 |
Ejemplares similares
-
Editorial: Computational methods to analyze RNA data for human diseases
por: Ding, Pingjian, et al.
Publicado: (2023) -
Digitaldlsorter: Deep-Learning on scRNA-Seq to Deconvolute Gene Expression Data
por: Torroja, Carlos, et al.
Publicado: (2019) -
Normalization Methods on Single-Cell RNA-seq Data: An Empirical Survey
por: Lytal, Nicholas, et al.
Publicado: (2020) -
Corrigendum: Digitaldlsorter: Deep-Learning on scRNA-Seq to Deconvolute Gene Expression Data
por: Torroja, Carlos, et al.
Publicado: (2020) -
Recent developments and future directions in meta-analysis of differential gene expression in livestock RNA-Seq
por: Keel, Brittney N., et al.
Publicado: (2022)