![]() ![]() ![]() For small sample sizes, we recommend using the non-parametric method instead, which replaces the one-way ANOVAs by Kruskal-Wallis tests. This option will produce a one-way ANOVA per factor and feature. In the Options tab, select the Parametric test type. Then select the explanatory variables corresponding to the genotype and state factors and select the observations labels given in the column A of the file. We have kept the features in rows data format, as genes are stored in rows in the dataset. Here, each sample corresponds to an individual. In the General tab, select the data in the Features/individuals table field. ![]() Once you have clicked on the button, the Differential expression dialog box appears. Setting up a differential expression analysis in XLSTATĪfter opening XLSTAT, select the XLSTAT / Laboratory data analysis / Differential expression analysis as shown in the figure below. The aim of this tutorial is to use the differential expression tool in XLSTAT to identify differentially expressed genes according to two factors: genotype (three levels: BB, BK, KK) and health status (two levels: healthy and diseased). Factors row numbers correspond to the number of samples (number of columns of the data matrix). A genotype factor and a health status factor are added to the right of the data matrix. RNAs are stored in rows and samples in columns. For each sample, the expression of 1561 genes is measured through RNA quantification. Dataset for running a differential expression analysis in XLSTATįor this tutorial we use a simulated data table corresponding to 36 biological samples of diseased and healthy individuals belonging to three different genotypes. This analysis allows to detect the feature most differentially expressed according to the explanatory variables within a feature /individuals data table that can reach very large dimensions. For example, it can be used to study the effects of explanatory variables on protein production or metabolite regulation in a context of high-speed OMICS data. This tutorial explains how to set up and interpret differential expression analysis in Excel using the XLSTAT statistical software. ![]()
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