Metadata-Version: 2.1
Name: proMAD
Version: 0.0.2
Summary: Semiquantitative densitometric measurement of protein microarrays
Home-page: https://proMAD.dev
Author: Anna Jaeschke; Hagen Eckert
Author-email: 
License: MIT
Download-URL: https://github.com/theia-dev/proMAD/archive/v0.0.2.zip
Description: # proMAD
        Semiquantitative densitometric measurement of protein microarrays
        
        
        [![PyPi](https://img.shields.io/pypi/v/proMAD.svg?style=for-the-badge)](https://pypi.org/project/proMAD/)
        [![Status](https://img.shields.io/pypi/status/proMAD.svg?style=for-the-badge)](https://pypi.org/project/proMAD/)
        [![Github issues](https://img.shields.io/github/issues/theia-dev/proMAD.svg?style=for-the-badge)](https://github.com/theia-dev/proMAD/issues)
        [![Build](https://img.shields.io/travis/theia-dev/proMAD.svg?style=for-the-badge)](https://travis-ci.org/theia-dev/proMAD)
        [![License](https://img.shields.io/github/license/theia-dev/proMAD.svg?style=for-the-badge)](https://github.com/theia-dev/proMAD/blob/master/LICENSE.txt)
        
        
        ## Setup
            pip install proMAD
            
        ## Usage
        **ArrayAnalyse**
        ```python
        from proMAD import ArrayAnalyse
        aa = ArrayAnalyse('ARY022B')  # set array type
        aa.load_collection('test_cases/exp_data')  # set input folder
        
        aa.evaluate("A6")  # get result dictionary
        aa.get_spot("A6")  # get raw data
        aa.evaluate()  # get result dictionary for all spots
        ```
        **Cutter**
        
        * interactive
        ```python
        from proMAD import Cutter
        c = Cutter()
        
        c.load_collection('test_cases/raw_image_folder')  # set input folder
        c.set_shape()  # ask for the shape
        c.guess_positions()  # use a simple guess as a starting point
        c.preview()  # display guess (uses the last loaded image as default)
        
        c.set_positions()  # ask for refined cut positions
        c.set_names()  # ask for names
        c.preview()  # check in preview
        c.save_images('test_cases/formated_image_folder')  # save to folder (will be created if it does not exist
        ```
        
        * direct
        ```python
        from proMAD import Cutter
        
        c = Cutter()
        
        c.load_collection('test_cases/raw_image_folder')  # set input folder
        c.shape = (2, 3)
        c.cut_positions = [[20, 225, 445], [40, 130, 217, 315]]
        c.names = [['OL', 'ML', 'UL'], [None, 'MR', 'UR']]
        c.preview()
        c.save_images('test_cases/formated_image_folder')  # save to folder (will be created if it does not exist
        ```
        
        
Keywords: protein,microarrays,densitometric
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: ~=3.6
Description-Content-Type: text/markdown
