In scientific research, there are two main types of research analysis: qualitative and quantitative proteomics. Between these two extremes is semi-quantitative analysis, which assigns approximate measurements to data, rather than an exact measurement. Often used in cases where a direct measurement is not possible, but inference is unacceptable. In particular, the analysis is useful in cases where quantified data might fluctuate periodically.