## Differentially Expressed **Genes**

Differentially expressed genes are calculated using the **limma** method

Insilico Medicine

Matthew E. Ritchie, Belinda Phipson, Di Wu, Yifang Hu, Charity W. Law, Wei Shi, Gordon K. Smyth, _limma_ powers differential expression analyses for RNA-sequencing and microarray studies, _Nucleic Acids Research_, Volume 43, Issue 7, 20 April 2015, Page e47, [https://doi.org/10.1093/nar/gkv007](https://doi.org/10.1093/nar/gkv007)

**Each gene** in the table
is associated with the following **values**:

- **logFC**  
  logarithmic Fold Change value − indicates the difference of gene expression in a case vs Controls sample groups. It consists of two components: the left component is an average Fold Change value across all case samples; the right one indicates the interval with the majority of fold changes within each sample

- **P-value**  
  P-value − is a probability value indicating the statistical significance of the observed gene differential expression <0.05 is a standard significance threshold value

- **Q-value**  
  Q-value − is a False Discovery Rate (FDR) corrected p-value. We recommend using this value as a default parameter to estimate statistical significance of a given gene. <0.05 is a standard significance threshold value

Training Video

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