Cargando…
MultiRankSeq: Multiperspective Approach for RNAseq Differential Expression Analysis and Quality Control
Background. After a decade of microarray technology dominating the field of high-throughput gene expression profiling, the introduction of RNAseq has revolutionized gene expression research. While RNAseq provides more abundant information than microarray, its analysis has proved considerably more co...
Autores principales: | Guo, Yan, Zhao, Shilin, Ye, Fei, Sheng, Quanhu, Shyr, Yu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4058234/ https://www.ncbi.nlm.nih.gov/pubmed/24977143 http://dx.doi.org/10.1155/2014/248090 |
Ejemplares similares
-
RNAseqPS: A Web Tool for Estimating Sample Size and Power for RNAseq Experiment
por: Guo, Yan, et al.
Publicado: (2014) -
Large Scale Comparison of Gene Expression Levels by Microarrays and RNAseq Using TCGA Data
por: Guo, Yan, et al.
Publicado: (2013) -
RNAseq by Total RNA Library Identifies Additional RNAs Compared to Poly(A) RNA Library
por: Guo, Yan, et al.
Publicado: (2015) -
RnaSeqSampleSize: real data based sample size estimation for RNA sequencing
por: Zhao, Shilin, et al.
Publicado: (2018) -
scRNABatchQC: multi-samples quality control for single cell RNA-seq data
por: Liu, Qi, et al.
Publicado: (2019)