Metadata-Version: 2.0
Name: scicast
Version: 0.8.1
Summary: scicast: Single Cell Iterative Clustering and Statistical Testing. A package for interrogating single cell sequencing data.
Home-page: https://github.com/iandriver/scicast
Author: Ian Driver
Author-email: ian.driver@ucsf.edu
License: MIT
Download-URL: https://github.com/iandriver/scicast
Keywords: single-cell single cell RNA-seq sequencing clustering PCA k-means
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.5
Classifier: License :: OSI Approved :: MIT License
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS

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.


