Assessment of statistical methods from single cell, bulk RNA-seq, and metagenomics applied to microbiome data
Contents
1 Citation
Calgaro, M., Romualdi, C., Waldron, L., Risso, D., & Vitulo, N. (2020). Assessment of statistical methods from single cell, bulk RNA-seq, and metagenomics applied to microbiome data. Genome biology, 21(1), 1-31.
2 Summary
Briefly describe the scope of the paper, i.e. the field of research and/or application.
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.
