anchors
Python package for calculating scores from ancnchor or modifier screens
Free software: MIT license
Documentation: https://anchors.readthedocs.io.
Tutorial
To install:
$ pip install anchors
Basic Usage
import pandas as pd
from anchors import get_guide_residuals, get_gene_residuals
lfc_df = pd.read_csv('https://raw.githubusercontent.com/PeterDeWeirdt/anchor_screen_parp_lfcs/master/parp_example_lfcs.csv')
refernce_condition_df = pd.read_csv('https://raw.githubusercontent.com/PeterDeWeirdt/anchor_screen_parp_lfcs/master/parp_example_mapping.csv')
guide_residuals, model_info, model_fit_plots = get_guide_residuals(lfc_df, refernce_condition_df)
guide_mapping_df = pd.read_csv('https://raw.githubusercontent.com/PeterDeWeirdt/anchor_screen_parp_lfcs/master/brunello_guide_map.csv')
gene_residuals = get_gene_residuals(guide_residuals, guide_mapping_df)
Features
TODO
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.1.0 (2020-09-21)
First release on PyPI.
0.3.0 (2020-09-21)
Calculate guide and gene residuals.
Metadata
Release files for anchors 0.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| anchors-0.3.1.tar.gz | 13.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| anchors-0.3.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 19.9 kB
Release files / anchors-0.3.1.tar.gz
| Download URL | anchors-0.3.1.tar.gz |
|---|---|
| Size | 13.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / anchors-0.3.1-py2.py3-none-any.whl
| Download URL | anchors-0.3.1-py2.py3-none-any.whl |
|---|---|
| Size | 6.9 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.9
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