The user can choose between a Female Mice Liver transcriptomics dataset (N= 135) or a Male Mice Liver transcriptomics dataset (N= 124), each with 3600 probesets more details in Ghazalpour et al., Integrating Genetic and Network Analysis to Characterise Genes Related to Mouse Weight, PLoS Genetics, 2006. These two datasets have been used by the authors of the WGCNA method in their tutorials.
Each dataset comprises two files, one for the transcriptomic expression (in log2 and Z-scored), one for the clinical parameters, each having the subject IDs as first column.
The tables of ‘Gene Expression’ and ‘Clinical Traits’ show the source data matrices. The user can choose to show more entries and search for a specific subject.
The sample dendrogram shows the dendrogram computed on the distances (Euclidean metric) between the samples. Below is shown the clinical traits heatmap. The colors represent the Z-scores of the clinical traits: blue corresponds to low values, white to the means (i.e. 0), red to high values and grey to missing values. Once the user is happy with the choice of dataset, he/she can proceed by clicking on the Go to Next Step button or on the Network Construction tab on top of the page.