Installation
Epical is coded in Python. It needs Python 3 (version 3.5.x) or a later version for installation and execution.
Prerequisites
TensorFlow (Only requires by AltumAge)
Python Dependencies
Install Epical
# Create a virtual environment ... # install from PyPI $ pip3 install epical # install from github $ pip3 install git+https://github.com/liguowang/epical.git # test if *epical* is available and excutable $ epical --version epical 0.0.1
Upgrade Epical
$ pip3 install epical --upgrade
Uninstall Epical
$ pip3 uninstall epical
Run Epical
Print out usage and all the available clocks
$ epical --help
usage: epical [-h] [-v]
{Horvath13, Horvath13_shrunk, Horvath18, Levine, ...}
...
Example: run the “Horvath13” command
# print usage of the "Horvath13" command $ epical Horvath13 --help ... # run example data $ epical Horvath13 -m blood_N20_info.tsv -o output blood_N20_MethylationEPIC-v1.0_beta.tsv.gz 2024-01-04 07:52:11 [INFO] The prefix of output files is set to "output". 2024-01-04 07:52:11 [INFO] Loading Horvath13 clock data ... 2024-01-04 07:52:11 [INFO] Clock's name: "Horvath13" 2024-01-04 07:52:11 [INFO] Clock was trained from: "Pan-tissue" 2024-01-04 07:52:11 [INFO] Clock's unit: "years" 2024-01-04 07:52:11 [INFO] Number of CpGs used: 353 ...
Documentation
Metadata
Release files for epical 1.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| epical-1.3.0.tar.gz | 18.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| epical-1.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 37.2 MB
Release files / epical-1.3.0.tar.gz
| Download URL | epical-1.3.0.tar.gz |
|---|---|
| Size | 18.5 MB |
| Tags | Source |
|
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/5.1.1 CPython/3.12.5
|
Release files / epical-1.3.0-py3-none-any.whl
| Download URL | epical-1.3.0-py3-none-any.whl |
|---|---|
| Size | 18.7 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6a3c7f69a6c3bb3ee83f8340c11c3e9aeebffd8333de627dd8515a8f90b107fc
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.5
|