Statistical issues in the design and planning of proteomic profiling experiments.
The statistical design of a clinical proteomics experiment is a critical part of well-undertaken investigation. Standard concepts from experimental design such as randomization, replication and blocking should be applied in all experiments, and this is possible when the experimental conditions are well understood by the investigator. The large number of proteins simultaneously considered in proteomic discovery experiments means that determining the number of required replicates to perform a powerful experiment is more complicated than in simple experiments. However, by using information about the nature of an experiment and making simple assumptions this is achievable for a variety of experiments useful for biomarker discovery and initial validation.
Section of Oncology and Clinical Research, Leeds Institute of Cancer and Pathology, St. James's University Hospital, Beckett Street, Leeds, LS9 7TF, UK, D.A.Cairns@leeds.ac.uk.
David A
DA
Cairns
D015415:Biomarkers / Q000032:analysis; D011379:Prognosis; D040901:Proteomics / Q000379:methods*; D013223:Statistics as Topic / Q000379:methods*; D013997:Time Factors
D015415:Biomarkers