Metadata-Version: 2.1
Name: flyeye
Version: 0.4
Summary: Analysis package for FlyEye Silhouette data.
Home-page: https://sebastianbernasek.github.io/flyeye/
Author: Sebastian Bernasek
Author-email: sebastian@u.northwestern.com
License: MIT
Description: # <img alt="FlyEye Analysis" src="docs/source/graphics/analysis_header.png" height="150">
        
        
        **FlyEye Analysis** is part of the **NU FlyEye** platform for studying gene expression in *Drosophila* eye imaginal discs. The analysis package helps users analyze data measured using **FlyEye Silhouette**.
        
        Given one or more ``.silhouette`` files, FlyEye Analysis facilitates:
        
           - **Dynamic Measurements.** Infer expression dynamics from static data
        
           - **Data Querying.** Select cells by developmental age and cell type
        
           - **Dynamic Analysis.** Analyze and visualize expression dynamics
        
           - **Spatial Analysis.** Detect and quantify spatial expression patterns
        
        
        Please refer to the [documentation](https://sebastianbernasek.github.io/flyeye/index.html#) page for tips on getting started with analyzing your data.
        
        
        Dependencies
        ============
        
         - Python 3.6+
        
        Required:
        
         - [Scipy](https://www.scipy.org/)
         - [Pandas](https://pandas.pydata.org/)
         - [Matplotlib](https://matplotlib.org/)
        
        Optional:
        
         - [AstroML](https://pypi.org/project/astroML/)
         - [AstroML Addons](https://github.com/astroML/astroML_addons)
        
        
        Installation
        ============
        
        The simplest method is to install via ``pip``:
        
            pip install flyeye
        
        
        Examples
        ========
        
        For an example of a complete project utilizing the entire **NU FlyEye** platform, please refer to [our study](https://github.com/sebastianbernasek/pnt_yan_ratio) of Pointed and Yan expression during retinal patterning.
        
        
        Authors
        =======
        
        [Amaral Lab](https://amaral.northwestern.edu/)
        
Platform: UNKNOWN
Requires-Python: >=3
Description-Content-Type: text/markdown
Provides-Extra: frequency_detection
