maui
Multi-omics Autoencoder Integration (maui) is a python package for multi-omics data analysis. It is based on a bayesian latent factor model, with inference done using artificial neural networks. For details, check out our LSA paper: https://www.life-science-alliance.org/content/2/6/e201900517
Installation
maui works with Python 3.6 and TensorFlow 1.1 (does not yet support the yet unreleased TensorFlow 2.0). The easiest way to install is from pypi:
pip install -U maui-tools
This will install all necessary dependencies including keras an tensorflow. The default tensorflow (cpu) will be installed. If tensorflow GPU is needed, please install it prior to installation of maui.
The development version may be installed by cloning this repo and running python setup.py install, or, using pip directly from github:
pip install -e git+https://github.com/BIMSBbioinfo/maui.git#egg=maui
Optional dependencies
Survival analysis functionality supplied by lifelines 1. It may be installed directly from pip using pip install lifelines.
Usage
See the vignette, and check out the documentation.
Citation
Evaluation of colorectal cancer subtypes and cell lines using deep learning. Jonathan Ronen, Sikander Hayat, Altuna Akalin. Life Science Alliance Dec 2019, 2 (6) e201900517; DOI: 10.26508/lsa.201900517
Contributing
Open an issue, send us a pull request, or shoot us an e-mail.
License
maui is released under the GNU General Public License v3.0 or later.
@jonathanronen, BIMSBbioinfo, 2018
1 maintainer
Metadata
1 maintainer
Release files for maui-tools 0.1.95
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| maui-tools-0.1.95.tar.gz | 20.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| maui_tools-0.1.95-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 50.8 kB
Release files / maui-tools-0.1.95.tar.gz
| Download URL | maui-tools-0.1.95.tar.gz |
|---|---|
| Size | 20.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
52518a675fe240e840a2e0bf9102b2aecafa195ecd1c34838e803a1b81ed25ea
|
|
BLAKE2b-256 checksum How to use checksums |
46130b4793899fd29d7ed88cef3d0625ad74e82887e78e47eed5b7bced9dc05f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.0 importlib_metadata/3.7.2 packaging/20.9 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2
|
Release files / maui_tools-0.1.95-py3-none-any.whl
| Download URL | maui_tools-0.1.95-py3-none-any.whl |
|---|---|
| Size | 30.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b5a56dd2e08cb9da46e3f73e8d3e067e249ce79421230527d2c13f6c6b1f7067
|
|
BLAKE2b-256 checksum How to use checksums |
fbf2b018eaddfa2261f2a67ec7c019e31087ffd85402c16f31b3618c8ad63589
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.0 importlib_metadata/3.7.2 packaging/20.9 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2
|
Security for maui-tools 0.1.95
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
