Papers: 10.1177/2515841419835460

https://doi.org/10.1177/2515841419835460

RNA-sequencing in ophthalmology research: considerations for experimental design and analysis

Cited by: 6
Author(s): Nicholas Owen, Mariya Moosajee
Published: almost 8 years ago

Software Mentions 9

bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
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bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
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bioconductor: NOISeq
Exploratory analysis and differential expression for RNA-seq data
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bioconductor: PROPER
PROspective Power Evaluation for RNAseq
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bioconductor: RNASeqPower
Sample size for RNAseq studies
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cran: SAM
Sparse Additive Modelling
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cran: STAR
Spike Train Analysis with R
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pypi: analysis
Source code analysis of Python programs
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pypi: Scotty
AWS ECS Container Deployment Tool
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