6533b854fe1ef96bd12ae930
RESEARCH PRODUCT
Feasibility of sample size calculation for RNA-seq studies
Harald BinderAlicia Poplawskisubject
0301 basic medicineFold (higher-order function)Sequence Analysis RNAComputer scienceHigh-Throughput Nucleotide SequencingRNA-Seqcomputer.software_genre03 medical and health sciences030104 developmental biology0302 clinical medicineResearch DesignSample size determinationSample SizeFeasibility StudiesHumansData miningMolecular BiologycomputerSoftware030217 neurology & neurosurgeryInformation SystemsSystematic searchdescription
Sample size calculation is a crucial step in study design but is not yet fully established for RNA sequencing (RNA-seq) analyses. To evaluate feasibility and provide guidance, we evaluated RNA-seq sample size tools identified from a systematic search. The focus was on whether real pilot data would be needed for reliable results and on identifying tools that would perform well in scenarios with different levels of biological heterogeneity and fold changes (FCs) between conditions. We used simulations based on real data for tool evaluation. In all settings, the six evaluated tools provided widely different answers, which were strongly affected by FC. Although all tools failed for small FCs, some tools can at least be recommended when closely matching pilot data are available and relatively large FCs are anticipated.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-01-18 | Briefings in Bioinformatics |