Find the similarities between biological pathways using SimRank!
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This is a University Project for Big Data subject at University of Catania.
The goal is to find similarities between biological pathways using the SimRank algorithm. This was implemented in Spark using Scala.
Furthermore, within the project was made a comparison between the classic SimRank and the SimRank-Lowrank, this last one wasn't implemented by me.
This section should list any major frameworks that you built your project using. Leave any add-ons/plugins for the acknowledgements section. Here are a few examples.
- Install Hadoop 2.7.6 from the following link
- Install Scala 2.11.7 from the fpollowing link link
- Install Spark 2.3.0 from the following link
- Install SimRank-LowRank from the following link
- Install jupyter-notebook from the following link
- Clone the repo
git clone https://github.com/Gigi-G/simrank.git
- Go to simrank
cd simrank - Open the pathwaysim.ipynb notebook
jupyter-notebook
Execute the cells inside the jupyter-notebook :-)
See the open issues for a list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Distributed under the GPL-3.0 License. See LICENSE for more information.
Luigi Seminara - @Gigii_G - seminara.luigi@gamil.com
Project Link: https://github.com/Gigi-G/simrank