Cargando…
Statistical methods on detecting differentially expressed genes for RNA-seq data
BACKGROUND: For RNA-seq data, the aggregated counts of the short reads from the same gene is used to approximate the gene expression level. The count data can be modelled as samples from Poisson distributions with possible different parameters. To detect differentially expressed genes under two situ...
Autores principales: | Chen, Zhongxue, Liu, Jianzhong, Ng, Hon Keung Tony, Nadarajah, Saralees, Kaufman, Howard L, Yang, Jack Y, Deng, Youping |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287564/ https://www.ncbi.nlm.nih.gov/pubmed/22784615 http://dx.doi.org/10.1186/1752-0509-5-S3-S1 |
Ejemplares similares
-
Detecting differentially methylated loci for Illumina Array methylation data based on human ovarian cancer data
por: Chen, Zhongxue, et al.
Publicado: (2013) -
Statistical Analysis of the Exchange Rate of Bitcoin
por: Chu, Jeffrey, et al.
Publicado: (2015) -
Statistical modeling of annual highest monthly rainfall in Zimbabwe
por: Musara, Keith, et al.
Publicado: (2022) -
Statistical methods for identifying differentially expressed genes in RNA-Seq experiments
por: Fang, Zhide, et al.
Publicado: (2012) -
FDM: a graph-based statistical method to detect differential transcription using RNA-seq data
por: Singh, Darshan, et al.
Publicado: (2011)