icikt 1.5.3

Python tool to calculate the KendallTau correlation coefficients.

Description

The icikt package handles missing data before calculating a correlation between datasets for variables. The missing values are treated as information from a left-centered distribution perspective and are included in the calculation of concordant and discordant pairs used in calculating the correlation value.

Full API documentation, user guide, and tutorial can be found on Github_Pages

Installation

The icikt package runs under Python 3.8+. Use pip to install. Starting with Python 3.4, pip is included by default.

Install on Linux, Mac OS X

python3 -m pip install icikt

Install on Windows

py -3 -m pip install icikt

Upgrade on Linux, Mac OS X

python3 -m pip install icikt --upgrade

Upgrade on Windows

py -3 -m pip install icikt --upgrade

Get the source code

Code is available on GitHub: https://github.com/MoseleyBioinformaticsLab/icikt

To clone the repo, first make sure you have git installed:

git clone https://github.com/MoseleyBioinformaticsLab/icikt.git

Dependencies

The icikt package depends on several Python libraries:

• docopt for a command line interface.

• scipy and numpy for mathmatical calculations.

• Cython for optimized performance.

NOTE- NumPy and Cython must be preinstalled in order for this package to work.

The pip command will install all dependencies automatically, but if you wish to install them manually, run the following commands:

• docopt for a command line interface

  • To install the docopt Python library run the following:

    python3 -m pip install docopt  # On Linux, Mac OS X
    py -3 -m pip install docopt    # On Windows

• scipy for performing the kendall-tau calculations

  • To install the scipy Python library run the following:

    python3 -m pip install scipy  # On Linux, Mac OS X
    py -3 -m pip install scipy    # On Windows

• numpy for creating and modifying ndarrays of data

  • To install numpy run the following:

    python3 -m pip install numpy  # On Linux, Mac OS X
    py -3 -m pip install numpy    # On Windows

• Cython for the cythonized kendall_dis method

  • To install the Cython Python library run the following:

    python3 -m pip install Cython  # On Linux, Mac OS X
    py -3 -m pip install Cython    # On Windows

WARNING- If the following pip error message is generated, then the python3 devel package must be installed:

"fatal error: Python.h: No such file or directory"

Basic usage

To use the icikt package, input a 2d array with n columns each representing an array of data for a variable. The iciktArray will return two n x n 2d arrays for correlations and p-values. Each element will correspond to the result of a combination of two columns in the input array. iciktArray can also be called from the command-line interface given the file path for the data along with several optional parameters(more in docs/tutorial).

Running through command line :

icikt iciktArray /path/to/file.tsv --data-format=tsv --replace=None

Running through python script :

import numpy as np
import icikt

dataArray = np.genfromtxt('/path/to/file.tsv', delimiter="\t")
# or with random values
dataArray = np.random.randn(100, 2)

# running just 2 arrays with icikt
corr, pVal, tMax = icikt.icikt(dataArray[:,0], dataArray[:,1])

# running all combinations with iciktArray
scaled, corrRaw, pVals, tauMax = icikt.iciktArray(dataArray)

License

A modified Clear BSD License

Copyright (c) 2021, Praneeth S. Bhatt, Robert M. Flight, Hunter N.B. Moseley All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted (subject to the limitations in the disclaimer below) provided that the following conditions are met:

• Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

• Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

• Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

• If the source code is used in a published work, then proper citation of the source code must be included with the published work.

NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY’S PATENT RIGHTS ARE GRANTED BY THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.