pyCDxAnalysis
pyCDxAnalysis is a python library to format, filter, analyze and visulize cancer companian diagnosis data in a unifying thread. It provides universal interface to filter samples via a range of condition, and various methods to perform most commonly used analysis in cancer genomics.
Installation
From source code.
$ git clone https://github.com/JaylanLiu/pyCDxAnalysis
$ cd pyCDxAnalysis
$ python setup.py install
To install the package with pip, run:
pip install pyCDxAnalysis
Example usage
An executable demonstration of the package is available on GitHub as a Jupyter Notebook, https://github.com/JaylanLiu/pyCDxAnalysis/blob/main/pyCDxAnalysis/pyCDxAnalysis_test.ipynb.
Metadata
Release files for pyCDxAnalysis 0.0.30
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| pyCDxAnalysis-0.0.30.tar.gz | 19.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyCDxAnalysis-0.0.30-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 38.0 kB
Release files / pyCDxAnalysis-0.0.30.tar.gz
| Download URL | pyCDxAnalysis-0.0.30.tar.gz |
|---|---|
| Size | 19.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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Release files / pyCDxAnalysis-0.0.30-py3-none-any.whl
| Download URL | pyCDxAnalysis-0.0.30-py3-none-any.whl |
|---|---|
| Size | 18.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.8.8
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Security for pyCDxAnalysis 0.0.30
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