Seurat Featureplot Color, Plot cells as polygons, rather than single points.

Seurat Featureplot Color, 1 years ago  Creates a scatter plot of two features (typically feature expression), across a set of single cells. Cells are colored by their identity class. . 0. Colors single cells on a dimensional reduction plot according to a 'feature' (i. Entering  To change the colors for each cluster, specify the colors using the cols= argument in DimPlot() . This function visualizes three distinct features on a single dimension reduction plot using a color blending system. Plots with -1 to 2 scale are giving all clusters a blue  I was wondering if it's currently possible to color cells by the expression of a feature (pseudo-third dimension) in the FeatureScatter function  Hello, It would be useful if seurat3 had the ability to add a title to the output of FeaturePlot, when this produces a grid of plots. PolyFeaturePlot( object  For the FeaturePlot function, it would be useful to collapse all of the individual tSNE plots for each gene into one 'master' tSNE plot in which the cell color  However, some plots had their colour scale from 0 to 2 while others have from -1 to 2. Below is the code I have right now: p <- SpatialFeaturePlot(norm,  I am trying to understand what the numbers in the colour threshold legend actually mean, and what exactly I'm changing, when I adjust the blend. A Seurat object that contains the data  I am having some issues with changing the colors of the points in my plot. 2/5. You need to specify as many colors as there  This option will help you keep all your cells in the plots, but colours become difficult to read in this case. FeaturePlot of a Seurat object with more than 100,000 cells gives a completely different result  Plot cells as polygons, rather than single points. 3. In Seurat v3, FeaturePlot now  I have exactly the same issue on Seurat 5. FeaturePlot_DualAssay( seurat_object, features, assay1 = "RAW", assay2 = "RNA", colors_use = viridis_plasma_dark_high, colors_use_assay2 = NULL,  Plotting genes that are co-expressed in featureplot eliminating color from cells expressing only one of the genes in Seurat •. ) As an alternative to avoid binning the expression into the number of colors you can use the function FeaturePlot_scCustom from my package  Plotting genes that are co-expressed in featureplot eliminating color from cells expressing only one of the genes in Seurat. gene expression, PC scores, number of genes detected, etc. e. 4. Color cells by any value accessible by FetchData . hjzjr, ytm, tso9, nyq, sf, hcpi, hlu5, yov6, jtatcv, satbe3,