Python package for calculating scores from ancnchor or modifier screens
Project description
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.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
anchors-0.3.1.tar.gz
(13.0 kB
view hashes)
Built Distribution
Close
Hashes for anchors-0.3.1-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a21178f6a4f342178f79c1e379e9c55af498a02621de0f94f0537d99a12d497a |
|
MD5 | 59d48dbbbab35311abbaf58d51debb0f |
|
BLAKE2b-256 | c7d08d00d3e1b35a1d7e16191e6cfe7b8c6f6192cbabd2f8c20b3dc321c7def6 |