scicast: Single Cell Iterative Clustering and Statistical Testing. A package for interrogating single cell sequencing data.
Project description
scicast is a python utility that automates many of the repetitive steps of analyzing single cell sequencing data.
-k-means clustering to identify clusters
-Clustering and subclustering of data to identify ‘stable’ sets of cells.
-Statistical testing to identify top genes that indentify stable cluster.
-Correlation search and analysis to identify gene networks driving cluster identity.
-Outputs both plots for visualization (PCA and heatmap) cell and gene lists that can be used to refine analysis.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
scicast-0.8.23.tar.gz
(30.7 kB
view hashes)
Built Distributions
scicast-0.8.23-py3.6.egg
(87.7 kB
view hashes)
scicast-0.8.23-py3-none-any.whl
(38.7 kB
view hashes)
scicast-0.8.23-py2-none-any.whl
(38.6 kB
view hashes)