API Reference#
API pages include interactive (HTML) plots that would possibly not render correctly on a mobile device.
Cellestial is built on top of Lets-Plot. For further customization options, functionalities, utilities and many more please refer to Lets-Plot API.
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Dimensionality Reduction#
Dimensionality reduction plot. |
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UMAP Dimensionality reduction plot. |
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PCA Dimensionality reduction plot. |
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tSNE Dimensionality reduction plot. |
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Dimensionality reduction plot of expression data. |
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Grid of dimensionality reduction plots. |
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Grid of dimensionality reduction plots. |
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Grid of dimensionality reduction plots. |
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Grid of dimensionality reduction plots. |
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Grid of dimensionality reduction plots. |
Heatmap#
Heatmap. |
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Matrix plot. |
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Dotplot. |
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Stacked Violin Plot. |
Distributions#
Basic#
QC#
Grid of ranked genes per group. |
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Ridge Plot. |
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Ridge Plot. |
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Elbow Plot. |
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Highest Expressed Genes Plot. |
Common#
Differential Expression#
Spatial#
Layers#
Layer of geom_path that outlines the given clusters. |
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Layer of geom_text that places per-group labels at median coordinates. |
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Layer of arrows as the X and Y axis to the plot. |
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Layer of streams of velocities on the embedding. |
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Layer of geom_bracket annotating pairwise significance between groups. |
Data Frames#
Build a DataFrame from a single-cell object. |
Utility#
Show a grid of hand-picked colors. |
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Returns the mapping of the plot as a dict. |
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Retrieves the dataframe from a PlotSpec or SupPlotsSpec using the index. |
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Get a single figure from a grid (SupPlotsSpec) by index. |
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Get multiple figures from a grid (SupPlotsSpec) as a new grid. |
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Convenience function for exporting plots. |
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Select the top-ranked marker gene names from a precomputed ranking. |
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Select the top-ranked marker gene names per group from a precomputed ranking. |
Datasets#
Download and load the preprocessed pbmc3k dataset. |
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Download and load the preprocessed V1 Human Lymph Node Visium spatial dataset. |
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Download and load the preprocessed endocrinogenesis day-15 pancreas dataset. |
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Download and load the breast cancer cell atlas from CELLxGENE. |
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Download and load an .h5ad dataset from a direct HTTP(S) URL. |
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Download and load a dataset from CELLxGENE by URL or UUID. |
Versions Information#
Print the in-use versions of the packages and python. |