Flow Cytometry Calibration Library
Project description
FlowCal is a library for processing and analyzing flow cytometry data in Python. It features:
Extraction of Flow Cytometry Standard (FCS) files into numpy array-like structures
Traditional and non-standard gating, including automatic density-based two-dimensional gating.
Traditional transformation functions, such as exponentiation.
Analysis of calibration beads data, standard curve generation, and transformation to absolute units (Molecules of Equivalent Fluorophore, MEF).
Plotting, including generation of histograms, density plots and scatter plots.
A user-fiendly Excel UI to gate, transform, plot, and generate statistics from a list of flow cytometry samples in a simple fashion.
Documentation
The official documentation can be found in https://flowcal.readthedocs.io. Here you will find installation instructions, tutorials, and more.
Report Bugs
The official way to report a bug is through the issue tracker on github (https://github.com/taborlab/FlowCal/issues). Try to be as explicit as possible when describing your issue. Ideally, a set of instructions to reproduce the error should be provided, together with the version of all the relevant packages you are using.
Request Features
Features can also be requested through the issue tracker on github. Try to be as descriptive as possible about the desired feature.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file FlowCal-1.3.0.tar.gz
.
File metadata
- Download URL: FlowCal-1.3.0.tar.gz
- Upload date:
- Size: 82.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/51.1.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 384ed029ccefdbc790d756873f164d0c127659a5ecd048474ebe8576fdbcf87f |
|
MD5 | f297d8fa6ec741b4fc9f117ddbef3cf2 |
|
BLAKE2b-256 | 66b219d36b7a25a369b531c2c1d0371ca58707f0a16944ed9fb607c9fda804a8 |