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Biclustering research algorithm implementation

Context

This project aims at implementing Biclustering methods to link genes with heterogeneous data using Mosek Python API.

Prerequisites

Before you begin, ensure you have met the following requirements:

  • You have installed a version of Python > 2.6.

Algorithms implemented

  • SDP resolution by Mosek
  • K-means constrained from "Data Clustering with Cluster Size Constraints Usinga Modifiedk-means Algorithm" article by Nuwan Ganganath†, Chi-Tsun Cheng, and Chi K. Tse.

How to use

To use the SDP biclustering algorithm, follow these steps:

To load your data:

Replace I=Instance.LoadInstance("save3.txt") with your text file representing your clusters matrixes in SDP_21.py

To run the algorithm on your data:

python SDP_21.py 

Contributors

Authors :

  • Alexis Le Glaunec
  • Geoffroy Zardi

This project was realized in collaboration with researchers from the university of Evry :

  • Farida Zehraoui
  • Eric Angel

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Implementing Biclustering methods to link genes with heterogeneous data

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