Metadata-Version: 2.1
Name: FlowKit
Version: 0.7.92
Summary: Flow Cytometry Toolkit
Home-page: https://github.com/whitews/flowkit
Author: Scott White
License: BSD
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
License-File: LICENSE

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* [Overview](#overview)
* [Features](#features)
* [Requirements](#requirements)
* [Installation](#installation)
* [Documentation](#documentation)
  * [Tutorials](#tutorials)
  * [Advanced Examples](#advanced-examples)
* [Contributing](#contributing)

## Overview

FlowKit is an intuitive Python toolkit for flow cytometry analysis and visualization, with full support for the [GatingML 2.0 standard](http://flowcyt.sourceforge.net/gating/latest.pdf) and limited support for FlowJo 10 workspace files.

**Version 0.6 added experimental support for exporting FlowJo 10 workspace files from a Session. Support is currently limited to exporting data from a single sample group. Please [submit an issue](https://github.com/whitews/FlowKit/issues/new/choose) if you find any bugs related to this feature.**

[!["Screenshot of scatterplot"](https://raw.githubusercontent.com/whitews/FlowKit/master/docs/_static/fk_scatterplot.png)]()

## Features

* Read / Write FCS Files
  * Read FCS files, supporting FCS versions 2.0, 3.0, and 3.1
  * Export FCS data as:
    * A new FCS 3.1 file
    * NumPy array
    * Pandas DataFrame
    * CSV text file
* Compensation
  * Compensate events using spillover matrices from:
    * $SPILL or $SPILLOVER keyword value
    * FlowJo tab-delimited text
    * NumPy array
    * GatingML 2.0 spectrumMatrix XML element
  * Create a compensation matrix from a set of compensation bead files
* Transformation
  * Logicle
  * Inverse hyperbolic sine (ArcSinh)
  * FlowJo Bi-exponential
  * Hyperlog
  * Logarithmic
  * Channel ratios
  * Linear
* Gating
  * Full support for the GatingML 2.0 specification
    * Import GatingML XML documents as gating strategies
    * Export gating strategies as a valid GatingML XML document
  * Limited support for importing FlowJo 10 workspace files. Workspace files are currently limited to the following features:
    * Linear, logarithmic, bi-exponential, and logicle transforms
    * Polygon, rectangle, ellipse, and quadrant gates
    * Export a Session's sample group analysis as a FlowJo 10 workspace file
  * Programmatically create gating strategies including polygon, rectangle, range, ellipsoid, quadrant, and boolean gates
  * Retrieve gating results as a Pandas DataFrame 
* Visualization
  * Histogram of single channel data
  * Contour density plot of two channels
  * Interactive scatter plot of two channels
  * Interactive scatter plot matrix of any combination of channels
  * Interactive scatter plots of gates with sample events

## Requirements

FlowKit supports Python version 3.6 or above. All dependencies are installable 
via pip, and are listed below.

***Note: FlowKit and FlowUtils use C extensions for significant performance 
improvements. If using `gcc`, version 5 or 
above is required for correct Logicle and Hyperlog transformations.***

Required Python dependencies:

* [flowio](https://github.com/whitews/flowio) == 0.9.12
* [flowutils](https://github.com/whitews/flowutils) == 0.9.5
* anytree >= 2.6
* bokeh >= 1.4
* lxml >= 4.4
* matplotlib >= 3.1
* networkx >= 2.3
* numpy >= 1.19
* pandas >= 1.1
* psutils ~= 5.8
* scipy >= 1.3
* seaborn >= 0.11
* statsmodels

## Installation

### From PyPI

```
pip install flowkit
```

### From source

```
git clone https://github.com/whitews/flowkit
cd flowkit

python setup.py install
```

## Documentation

The FlowKit API documentation is available [on ReadTheDocs here](https://flowkit.readthedocs.io/en/latest/?badge=latest). The tutorial notebooks in the examples directory are a great place to get started with FlowKit, and are linked below.
If you have any questions about FlowKit, find any bugs, or feel something is missing from the tutorials below [please submit an issue to the GitHub repository here](https://github.com/whitews/FlowKit/issues/new/).

### Tutorials

The series of Jupyter notebook tutorials can be found in the `examples` directory of this repository. Note, the interactive scatterplots do not render on GitHub. Clone the repo (or download the example notebooks), and run them locally to see the fully interactive plots.

* [Part 1 - Sample Class](https://github.com/whitews/FlowKit/blob/master/examples/flowkit-tutorial-part01-sample-class.ipynb)
* [Part 2 - transforms Module & Matrix Class](https://github.com/whitews/FlowKit/blob/master/examples/flowkit-tutorial-part02-transforms-module-matrix-class.ipynb)
* [Part 3 - GatingStrategy & GatingResults Classes](https://github.com/whitews/FlowKit/blob/master/examples/flowkit-tutorial-part03-gating-strategy-and-gating-results-classes.ipynb)
* [Part 4 - gates Module](https://github.com/whitews/FlowKit/blob/master/examples/flowkit-tutorial-part04-gates-module.ipynb)
* [Part 5 - Session Class](https://github.com/whitews/FlowKit/blob/master/examples/flowkit-tutorial-part05-session-class.ipynb)

### Advanced Examples

Below are more advanced and practical examples for using FlowKit. If you have an example you would like to submit for consideration in this list (preferably with data), please [submit an issue](https://github.com/whitews/FlowKit/issues/new/).

* [Compare mean fluorescence intensity (MFI) in gated populations](https://github.com/whitews/FlowKit/blob/master/examples/flowkit-session-compare-mfi-of-gated-events.ipynb)
* [Customize gate for a single Sample in a Session sample group](https://github.com/whitews/FlowKit/blob/master/examples/flowkit-session-create-custom-sample-gate.ipynb)
* [Importing a FlowJo 10 WSP file & replicating analysis in FlowKit](https://github.com/whitews/FlowKit/blob/master/examples/flowkit-session-replicate-flowjo-wsp.ipynb)
* [Dimension reduction on gated populations](https://github.com/whitews/FlowKit/blob/master/examples/dimension_reduction_on_gated_populations.ipynb)
* [Comparison between Leiden & Louvain clustering](https://github.com/whitews/FlowKit/blob/master/examples/clustering_comparison_leiden_vs_louvain.ipynb)

## Contributing

Want to get involved in the development of FlowKit? 

[Read our CONTRIBUTING guidelines](https://github.com/whitews/FlowKit/blob/master/CONTRIBUTING.md)


