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gnr

This file will become your README and also the index of your documentation.

Developer Guide

Setup

# create conda environment
$ mamba env create -f env.yml

# update conda environment
$ mamba env update -n gnr --file env.yml
# $ mamba env update -n gnr --file env.mac.yml

Install

pip install -e .

# install from pypi
pip install gnr

nbdev

# activate conda environment
$ conda activate gnr

# make sure the gnr package is installed in development mode
$ pip install -e .

# make changes under nbs/ directory
# ...

# compile to have changes apply to the gnr package
$ nbdev_prepare

Note: it might be useful to use the following snippet to enable hot reloading:

%load_ext autoreload
%autoreload 2

Publishing

# publish to pypi
$ nbdev_pypi

# publish to conda
$ nbdev_conda --build_args '-c conda-forge'

Usage

Installation

Install latest from the GitHub repository:

$ pip install git+https://github.com/dsm-72/gnr.git

or from conda

$ conda install -c dsm-72 gnr

or from pypi

$ pip install gnr
df_trj = make_mock_genes_x_tbins()
df_trj.head()
<style scoped> .dataframe tbody tr th:only-of-type { vertical-align: middle; } .dataframe tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; } </style>
0 1 2 3 4 5 6 7 8 9 ... 90 91 92 93 94 95 96 97 98 99
wasf 0 0 0 0 0 0 0 0 0 0 ... 9 9 9 9 9 9 9 9 9 9
colq 9 9 9 9 9 9 9 9 9 9 ... 1 0 0 0 0 0 0 0 0 0
gpr1 0 0 0 0 0 0 0 0 0 0 ... 9 9 9 9 9 9 9 9 9 9
chrm3 9 9 9 9 9 9 9 9 9 9 ... 1 1 0 0 0 0 0 0 0 0
lmod2 0 0 0 0 0 0 0 1 1 1 ... 8 8 8 9 9 9 9 9 9 9

5 rows × 100 columns

gc_op = GrangerCausality(n_jobs=2)
df_res = gc_op.fit_transform(df_trj, fit_params={'standard_scaler':True, 'signed_correlation': True})
df_res.head()
<style scoped> .dataframe tbody tr th:only-of-type { vertical-align: middle; } .dataframe tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; } </style>
wasf_y colq_y gpr1_y chrm3_y lmod2_y tek_y kank3_y oca2_y taz_y map4k1_y
wasf_x 1.000000 0.683091 0.314458 0.144127 0.000818 1.000000 1.000000 0.000066 0.102470 0.006449
colq_x 1.000000 1.000000 0.779284 1.000000 1.000000 0.001091 0.192685 0.675090 1.000000 0.806543
gpr1_x 0.805541 0.042286 1.000000 0.892251 0.795418 0.823063 1.000000 0.542452 0.001091 0.852052
chrm3_x 0.001091 0.073638 0.168425 1.000000 0.632585 1.000000 0.102470 0.542452 1.000000 0.367649
lmod2_x 0.683091 0.000104 0.031086 0.220671 1.000000 0.683091 0.000818 0.367649 1.000000 0.017608
gc_op.plot_df_org(figsize=(4,4))

gc_op.plot_df_res(figsize=(4,4))

Documentation

Documentation can be found hosted on GitHub repository pages. Additionally you can find package manager specific guidelines on conda and pypi respectively.

Metadata

Release files for gnr 0.0.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

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Table of built distributions (wheels) for gnr 0.0.4
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