Univariate analysis is perhaps the simplest form of statistical analysis. Univariate analysis is very common in statistical analysis, involving only one variable. The analysis results are descriptive or inferential, so the analysis is widely used to analyze data collected from proteomics or metabolomics. The data is usually multi-dimensional, with the number of features (peaks, metabolites) ranging from dozens to hundreds or even thousands. The characteristics of the collected data represent a snapshot of the global biochemical profile of each organism. Most of these characteristics are expected to be within the normal physiological range, and some characteristics may fluctuate drastically due to changes in physiological conditions. Identifying these "key" features is the first step to discover potential biomarkers and reveal their potential biological functions.
Descriptive statistics describe the sample or population. They can be part of exploratory data analysis. The appropriate statistics depend on the measurement level.
The inference method allows us to infer from the sample to the population. For nominal variables, a one-way chi-square test (goodness of fit) can help determine whether our sample matches the sample of certain populations. For interval and ratio level data, the one-sample t-test allows us to infer whether the mean in the sample matches a suggested number (usually 0). Other available location tests include the single-sample symbol test and the Wilcoxon signature level test.
CD ComputaBio can describe some of the methods in univariate data including central tendency (mean, mode, and median) and dispersion: range, variance, maximum, minimum, quartile (including quartiles) Range) and standard deviation. We can provide you with the following services but not limited to:
|Project name||Univariate analysis|
We can use multiple options to describe data with univariate data. Data analysis results can be fed back in the following forms:
|Sample requirements||Our univariate analysis requires you to provide specific requirements.|
|Screening cycle||Decide according to your needs.|
|Service including||We provide you with raw data and analysis service.|
CD ComputaBio' univariate analysis can significantly increase the hit rate of lead compounds and reduce the cost of later experimental screening. Univariate analysis is a personalized and customized innovative scientific research service. Each project needs to be evaluated before the corresponding analysis plan and price can be determined. The key fact is that only one variable is involved. Univariate analysis can yield misleading results in cases in which multivariate analysis is more appropriate. If you want to know more about service prices or technical details, please feel free to contact us.