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
The icikt
package runs under Python 3.8+. Use pip to install.
Starting with Python 3.4, pip is included by default.
python3 -m pip install icikt
py -3 -m pip install icikt
python3 -m pip install icikt --upgrade
py -3 -m pip install icikt --upgrade
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
- The
icikt
package depends on several Python libraries:
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"
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)
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:
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