A general modular framework for gene set enrichment analysis
Contents
1 Citation
M Ackermann and K Strimmer, A general modular framework for gene set enrichment analysis, 2009, BMC Bioinformatics, 10:47, pages etc in any possible citation style.
2 Summary
Gene set analyses have a modular structure, i.e. they consist of 1. gene level statistics 2. gene level significance assessment 3. gene set statistics 4. gene set significance assessment 5. statistical conclusion
Here, 261 different variants of gene set enrichment procedures were evaluated based on simulated and experimental data.
3 Study outcomes
List the paper results concerning method comparison and benchmarking:
3.1 Outcome O1
The performance of ...
Outcome O1 is presented as Figure X in the original publication.
3.2 Outcome O2
...
Outcome O2 is presented as Figure X in the original publication.
3.3 Outcome On
...
Outcome On is presented as Figure X in the original publication.
3.4 Further outcomes
If intended, you can add further outcomes here.
4 Study design and evidence level
4.1 General aspects
You can describe general design aspects here. The study designs for describing specific outcomes are listed in the following subsections:
4.2 Design for Outcome O1
- The outcome was generated for ...
- Configuration parameters were chosen ...
- ...
4.3 Design for Outcome O2
- The outcome was generated for ...
- Configuration parameters were chosen ...
- ...
...
4.4 Design for Outcome O
- The outcome was generated for ...
- Configuration parameters were chosen ...
- ...
5 Further comments and aspects
6 References
The list of cited or related literature is placed here.