Skip to main content

Home_made machinery for image and seq analysis

Project description

------------------------------------------------

alva_machinery.distribution and .packing

are for Visualizing Tcell clonal distribution

The related repository contains code for mathematical visualization of T-cell receptor sequencing data by Power-law, Yule-Simon, and Ewens statistical distributions initially described in the paper:

----------------------------

alva_machinery.markov

is for Identifying neurite by RRS method

The related repository contains code for implementing the RRS method initially described in the paper:

https://doi.org/10.1038/s41598-019-39962-0

https://www.nature.com/articles/s41598-019-39962-0

Random-Reaction-Seed Method for Automated Identification of Neurite Elongation and Branching
by Alvason Li (2019)

(is still working on this repository, a new AlvaHmm package will be ready soon...)

Overview

tracing neurite in microfuidic device

Prerequisites

This code is written and tested in Python 3.6.5. The required Python libaries are:

  • NumPy
  • SciPy
  • Matplotlib

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

alva_machinery-0.0.6.tar.gz (21.7 kB view hashes)

Uploaded Source

Built Distribution

alva_machinery-0.0.6-py3-none-any.whl (23.7 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page