Material provided by Charlotte Soneson
This folder contains material provided by Charlotte Soneson. The following material is included:
Scientific topics: RNA-Seq
Keywords: RNA-Seq, Differential-expression, Statistical-model, Exploratory-analysis
Material provided by Charlotte Soneson
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/RNA-Seq/Charlotte_Soneson/README.md
http://tess.elixir-uk.org/materials/material-provided-by-charlotte-soneson
This folder contains material provided by Charlotte Soneson. The following material is included:
Charlotte Soneson @charlotte, charlottesoneson@gmail.com
RNA-Seq
RNA-Seq, Differential-expression, Statistical-model, Exploratory-analysis
Differential expression analysis
This lecture covers the process from count matrix to statistical analysis results (differential expression). More specifically, it covers experimental design, normalization, statistical modeling and parameter estimation, multiple hypothesis testing and a more detailed look at some of the most...
Keywords: Differential-expression, Statistical-model
Differential expression analysis
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/RNA-Seq/Charlotte_Soneson/differential_expression_lecture_2015.md
http://tess.elixir-uk.org/materials/differential-expression-analysis
This lecture covers the process from count matrix to statistical analysis results (differential expression). More specifically, it covers experimental design, normalization, statistical modeling and parameter estimation, multiple hypothesis testing and a more detailed look at some of the most common differential expression methods as well as a comparison between them.
Charlotte Soneson @charlotte, charlottesoneson@gmail.com
Differential-expression, Statistical-model
Exploratory analysis and downstream analysis
This lecture gives an overview of exploratory analysis (clustering) and supervised analysis (prediction/classification), as well as visualization methods (heatmaps/PCA) and gene set analysis. It also shows how to transform count data to make it more suitable to apply the traditional methods...
Keywords: Statistical-model, Exploratory-analysis
Exploratory analysis and downstream analysis
https://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/RNA-Seq/Charlotte_Soneson/downstream_analysis_lecture_2015.md
http://tess.elixir-uk.org/materials/exploratory-analysis-and-downstream-analysis
This lecture gives an overview of exploratory analysis (clustering) and supervised analysis (prediction/classification), as well as visualization methods (heatmaps/PCA) and gene set analysis. It also shows how to transform count data to make it more suitable to apply the traditional methods developed (e.g.) for microarray data.
Charlotte Soneson @charlotte, charlottesoneson@gmail.com
Statistical-model, Exploratory-analysis
