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main.py
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# Copyright (C) 2017, Xia Lab @ McGill,
# McGill University.
# All rights reserved.
#
# (JUST TENTATIVE LICENSE POLICY !!!!!!!)
# Redistribution and use in source and binary forms, with or without
# modification, are permitted 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 lab, McGill nor the
# names of its contributors may be used to endorse or promote products
# derived from this software without specific prior written permission.
#
# 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 lab, McGill 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.
#
# Note: This program complies with any terms appears in the licenses of the used
# software programs.
#
# Name : main.py
# Creation : Nov 28, 2017
# Subject : Integrates gene expression files and train prediction models for activity prediction.
# Author : Othman Soufan othman.soufan@mcgill.ca
#
# usage :python main.py
# python_version :2.7.13
from mainhelper import *
if __name__ == '__main__':
path_human = "data/Human/"
path_rat_invitro = "data/Rat/in_vitro/"
path_rat_invivo = "data/Rat/in_vivo/Kidney/Single/"
runClassificationAnal(path_rat_invivo)
runClassificationRandomAnal(path_rat_invivo)