Cargando…
Gene set analysis controlling for length bias in RNA-seq experiments
BACKGROUND: In gene set analysis, the researchers are interested in determining the gene sets that are significantly correlated with an outcome, e.g. disease status or treatment. With the rapid development of high throughput sequencing technologies, Ribonucleic acid sequencing (RNA-seq) has become a...
Autores principales: | Ren, Xing, Hu, Qiang, Liu, Song, Wang, Jianmin, Miecznikowski, Jeffrey C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5294840/ https://www.ncbi.nlm.nih.gov/pubmed/28184252 http://dx.doi.org/10.1186/s13040-017-0125-9 |
Ejemplares similares
-
Grouped False-Discovery Rate for Removing the Gene-Set-Level Bias of RNA-seq
por: Yang, Tae Young, et al.
Publicado: (2013) -
Comparative evaluation of gene set analysis approaches for RNA-Seq data
por: Rahmatallah, Yasir, et al.
Publicado: (2014) -
melRNA-seq for Expression Analysis of SINE RNAs and Other Medium-Length Non-Coding RNAs
por: Mori, Yoshinobu, et al.
Publicado: (2021) -
On Differential Gene Expression Using RNA-Seq Data
por: Lee, Juhee, et al.
Publicado: (2011) -
Baiting out a full length sequence from unmapped RNA-seq data
por: Li, Dongwei, et al.
Publicado: (2021)