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Fig. 2 | BMC Bioinformatics

Fig. 2

From: Matisse: a MATLAB-based analysis toolbox for in situ sequencing expression maps

Fig. 2

Analysis of the expression of 17 genes in the mouse cortex. A One dimensional KDE estimation of the expression of the 17 genes along the dorso-ventral axis of the cortex. Genes are randomly divided in two line plots to facilitate their comprehension. B Heat map representing the colocalization between the genes analyzed. Positive Z-scores (red) represent colocalization of the genes and negative Z-score (blue) represent mutually exclusive expression. C KDE of the expression of several different genes, represented pairwise. Different co-expression patterns are represented including mutually exclusive genes (top,left),colocalizing genes (down,left), partially colocalizing genes (top,right) and genes with non-related expression patterns (down,right). D Two-dimensional map of the bins generated when segmenting the mouse coronal section. Color code corresponds to the RGB loadings of each bin’s score on the top three UMAP components found when doing dimensionality reduction analysis. Different colors, indicating different loadings for each of components are found in different areas of the brain, highlighting the difference in expression found for the genes included in the panel. E Two-dimensional map of the bins generated previously, where each color represents one of the 15 clusters defined by performing hierarchical clustering on the segmented dataset. F Mean expression of each of the clusters defined in E for all the genes included in the analysis. The colors of each cluster, on the Y axis, correspond to the colors used in E for each cluster

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