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Releases: iandriver/scicast

Release v0.8.27

09 Mar 20:33
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-Multiple bug fixes
-can change output filetype
-multiple cell classification categories allowed
-updates to work with python 3.6 and matplotlib 2.0

v8.2 stable py2 and 3

23 Nov 19:11
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-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

04 Nov 19:54
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-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

03 Nov 06:54
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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

03 May 01:09
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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

15 Mar 21:53
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Pre-release

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.