Copyright (C) 2017 Jianxin Wang(jxwang@mail.csu.edu.cn),Chengqian Lu(chengqlu@csu.edu.cn)

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program; if not, see http://www.gnu.org/licenses/.

Jianxin Wang(jxwang@mail.csu.edu.cn),Chengqian Lu(chengqlu@csu.edu.cn) School of Information Science and Engineering Central South University ChangSha CHINA, 410083

Description: This package implements the SIMCLDA algorithm with inductive matrix completion framework, predicting lncRNA-disease associations.

Files: 1.Dataset

1. lncSim.mat and disSim_Jaccard.mat store lncRNA similarity matrix and disease similarity matrix, respectively;

2. interMatrix.mat stores known lncRNA-disease association information;

3. lncRNA_Name.txt and diseases_Name.txt store lncRNA ids and disease ids, respectively;

2.Code

1. gKernel.m: function computing Gaussian interaction profile kernel;

2. pca_energy.m: function extracting feature vectors via PCA;

3. SIMC.m : function completing matrix;

4. SIMCLDA: predict potential lncRNA-disease associations;