PyComplexHeatmap: A Python package to visualize multimodal genomics data

PyComplexHeatmap was designed to visualize matrix data and associated metadata through sophisticated, richly annotated heatmap layouts. We have integrated the R grammar‐of‐graphics semantics with the Python‐native matplotlib/Pandas‐based data science ecosystem, allowing users to utilize built‐in mat...

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Veröffentlicht in:iMeta 2023-08, Vol.2 (3), p.n/a
Hauptverfasser: Ding, Wubin, Goldberg, David, Zhou, Wanding
Format: Artikel
Sprache:eng
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Zusammenfassung:PyComplexHeatmap was designed to visualize matrix data and associated metadata through sophisticated, richly annotated heatmap layouts. We have integrated the R grammar‐of‐graphics semantics with the Python‐native matplotlib/Pandas‐based data science ecosystem, allowing users to utilize built‐in matplotlib colormaps and project Pandas DataFrame directly as horizontal or vertical color bars. PyComplexHeatmap supports high‐level data ion and can display up to five data dimensions within a single heatmap visualization.
ISSN:2770-596X
2770-5986
2770-596X
DOI:10.1002/imt2.115