Patient Stratification

the patient stratification heatmap shows the gene expression pattern of the graph genes across the samples contributing to the graph construction it helps you quickly see which genes are high or low in expression, and how variable patient cohorts or genes relate to each other the patient stratification card contains further details and inclusion options on the datasets contributing to the heatmap the heatmap intensity goes from blue (low expression levels) to red (high expression levels) the genes are shown over the rows with row labels showing the gene details, and the samples are shown over columns with column labels showing the annotated sample details the heatmap can thus be used to detect gene profiles and potential biomarkers for all variable patient cohorts with curated metadata details when a second network is added to the graph creation, as described under two networks comparison docid\ tkqki5g opbwejgrivtj3 , first select the nework based on which data you want the heatmap to be generated from, before clicking the "generate heatmap" button note that the genes within the heatmap will include all genes within the graph if you get this note "n genes from the graph are not included in the heatmap datasets ", it indicates the number of genes not identified in the data contributing to heatmap production we are working on updating the heatmaps within mavatar discovery, with the intention to include more data and to have a higher level metadata integration the majority of heatmaps now are either based on one dataset representative of the tissue and disease, or a copy from the disease specific networks respective tissue – general network if your network of interest contains a heatmap based on only one dataset, or contains more diseases than your network of interest, be aware that an improved version is underway read more about how the heatmaps are produced under expression heatmap construction docid\ kv178h6llc16gg2xzfbgh