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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:
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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
Metadata
Release files for alva-machinery 0.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| alva_machinery-0.0.6.tar.gz | 21.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| alva_machinery-0.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 45.4 kB
Release files / alva_machinery-0.0.6.tar.gz
| Download URL | alva_machinery-0.0.6.tar.gz |
|---|---|
| Size | 21.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / alva_machinery-0.0.6-py3-none-any.whl
| Download URL | alva_machinery-0.0.6-py3-none-any.whl |
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| Size | 23.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.6.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.5
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