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
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lncSim.mat and disSim_Jaccard.mat store lncRNA similarity matrix and disease similarity matrix, respectively;
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interMatrix.mat stores known lncRNA-disease association information;
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lncRNA_Name.txt and diseases_Name.txt store lncRNA ids and disease ids, respectively;
2.Code
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gKernel.m: function computing Gaussian interaction profile kernel;
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pca_energy.m: function extracting feature vectors via PCA;
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SIMC.m : function completing matrix;
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SIMCLDA: predict potential lncRNA-disease associations;