Releases: iandriver/scicast
Release v0.8.27
v8.2 stable py2 and 3
-added ability to kmeans cluster on t-SNE for high dimensional data
-outputs scicast log with command used to generate files
-log file text can be copy pasted and used to re-run or edit and run again
Version 0.7.94
-Most modules now work in python2 and 3
-reasonable stability of Tkinter Tkagg GUI
-Correlation search will only look for non overlapping groups
scicast v0.7.0
In this version:
-added kmeans unbiased cluster selection
-added tkinter gui for easier input
-more options for selecting methods and disabling significance testing, heatmaps etc.
SCICAST version 0.2
Changes:
-Fixed issues when running without any options.
-Now limits correlation search to 5000 genes.
-Added qgraph gene and cell network plotting options
SCICAST version 0.2-alpha
SCICAST: Single Cell Iterative Clustering and Statistical Testing. A package for interrogating single cell sequencing data.
SCICAST is a python utility that automates many of the repetitive steps of analyzing single cell sequencing data.
-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.