BIO101 - Foundations of omics study design

Module 3

Sydney-Informatics-Hub/Omics-Study-Designs-and-Data-Interpretation

BIO101 - Foundations of omics study design

Sydney-Informatics-Hub/Omics-Study-Designs-and-Data-Interpretation

Home
Module 1
Module 1
- Module 1.1 Omics landscape
- Module 1.2 Experimental workflow
  Module 1.2 Experimental workflow
Module 2
Module 2
- Overview
- Module 2.1 Accuracy and interpretability
  Module 2.1 Accuracy and interpretability
- Module 2.2 Power and cost
  Module 2.2 Power and cost
  - 2.2.1 Sample size
  - 2.2.2 Design decision costs
- Module 2.3 Generalisability
  Module 2.3 Generalisability
  - 2.3.1 Who the findings apply to
- Module 2.4 Design decisions in practice
Module 3
Further reading

Module 3

Download the activities page

Path of the webR page Activities-webR/module3/Module3_WebR-app-MetaData-v55.html

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or from the repo folder Activities-webR/module3/ and open it in Chrome or Edge. Head to the tab Chance Balance.

Blocking guarantees the balance that randomisation only makes likely, the activity puts a number on "likely" at the sample sizes omics studies actually run.