Metadata-Version: 2.1
Name: pcatk
Version: 0.1
Summary: Pre-Cancer Atlas data analysis toolkit
Home-page: https://github.com/hungyiwu/pca_analysis_toolkit
Author: Hung-Yi Wu
Author-email: hungyi_wu@g.harvard.edu
License: UNKNOWN
Description: # PCA analysis toolkit
        
        Analysis toolkit for the Pre-Cancer Atlas project. This toolkit is meant for exploratory analyses that changes rapidly. 
        
        Images, mostly acquired through the [CyCIF technology](https://www.cycif.org/), are assumed to be processed first by [mcmicro-nf](https://github.com/labsyspharm/mcmicro-nf), where most of the heavy computation for illumination correction, stitching, registration, nuclei & cell segmentation, and feature quantification are done. The images are then passed to this toolkit for rapid iterations of exploratory analyses.
        
        ## Modules
        * `convert`  
           Unpack and repack ome.tif files to TIFF images.
        * `exemplar`  
           Sample, render, and assemble single cell images.
        * `feature`  
           Pixel binarization as feature generation.
        * `measure`  
           Mini-tile and region-wise Pearson correlation coefficient.
        * `util`  
           Utility functions.
        * `external`  
           Useful external code.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
