Random Forest and Neural Networks for mining brain connectivity network data

Parcellation And Netmat Evaluation Library (PANEL)
Copyright (c) 2016 Emma C Robinson and Thomas Adlington

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the right to use,copy, modify, merge, publish, distribute, sublicense, and/orsell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Help:

THe PANEL tool box is designed as a means of evalauting the quality of a cortical segmentation against the strength of classifiers built using the resulting connectivity networks to detect different behvioural or cognitive measures. Built in Python
More to come

Contributors:

Thomas Adlington
Emma C Robinson (emma.robinson05[at]imperial.ac.uk

Download the hello tarball via our download form at:

Download the PANEL Tarball

Extract the tar ball, then read the INSTALL file for building and packaging instructions.