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Recursive Multi-view Integration for Subtypes Identification

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RISynG

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Recursive Integration of Synergised Graph Representations

Installation

Clone the repository

$ git clone https://github.com/xfurna/RISynG.git
$ cd RISynG

Alternatively, download the package and change your working directory to RISynG/

Install dependencies

$ pip3 install pipenv
$ pipenv install

Activate the virtual environment

$ pipenv shell

Usage

Add executable permission to the provided run.sh script.

$ chmod +x run.sh

There are five dataset in the Datasets folder- OV, STAD, CESC, LGG and BRCA. The algorithm can be executed for these dataset through the provided shell script run.sh as illustrated below.

$ ./run.sh dataset # replace 'dataset' with the name of the dataset

Execution can be done for multiple dataset just by cascading the names one after the other.

MAN

usage: risyng [-h] [--fuse [FUSE]] [--dataset [DATASET]] [--modality [MODALITY]] [--bval [BVAL]] [--order [ORDER]] [--cluster [CLUSTER]]

optional arguments:
  -h, --help            show this help message and exit
  --fuse [FUSE], -f [FUSE]
                        Pass 'y' for fusion.
  --dataset [DATASET], -d [DATASET]
                        Which dataset?
  --modality [MODALITY], -m [MODALITY]
                        Which modality? (an integer)
  --bval [BVAL], -b [BVAL]
                        At what b? (a number, or 'N' for default)
  --order [ORDER], -o [ORDER]
                        In what oder?
  --cluster [CLUSTER], -k [CLUSTER]
                        Number of clusters