Examples using Clustergrammer2 to explore high-dimensional datasets.
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Updated
Aug 24, 2020 - Jupyter Notebook
Examples using Clustergrammer2 to explore high-dimensional datasets.
Tutorials of Dynamo usage cases and code to reproduce the manuscript
Final year project experimenting with clustering and topological data analysis of scRNA-seq data using Python and R across two Jupyter notebooks
Functions that implement the algorithms described in the preprint "Normalization and gene selection for single-cell RNA-seq UMI data using sampling-adjusted sums of squares of Pearson residuals with a Poisson model" and Jupyter notebooks that reproduce the results in the preprint and its Supplement 1
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