Installation | MiSTr in Action | Continuous Outcome | With Heterogeneity (τ) | With Heterogeneity (τ) "Removed" | With "Average" Effect (π) | With "Average" Effect (π) and Heterogeneity (τ) | With "Average" Effect (π) and With Heterogeneity (τ) "Removed" | Continuous Outcome with Weights | Binary Outcome | Binary Outcome with Weights

Installation | Overview | An example | Get NanoString nCounter data | Presummarised data from NACHO | Raw data from GEO | The load_rcc() function | The visualise() function | The normalise() function | The autoplot() function | NACHO as a standalone app | The render() function | References

Installation | Overview | Analyse NanoString data | Load packages | Download GSE70970 from GEO (or use your own data) | Import RCC files | Perform the analyses using limma | Get the phenotypes | Get the normalised counts | Select phenotypes and counts | Perform the analyses using lm (or any other model)

Installation | Overview | Excel Template | The App | Technical Quality-Control | Statistical analyses | List of Outliers (Issues Detected)

Experimental Protocol | Culture of EndoC-βH1 cells | Transfection of siRNA into EndoC-βH1 cells | Assessment of insulin secretion from EndoC-βH1 cells | References