License

Copyright (C) 2018 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

Type: Package Title: Predicting human lncRNA-disease associations based on geometric matrix completion

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

Files: 1.Dataset

1. lncRNA-disease.txt stores known lncRNA-disease association information;

2. lncRNA.txt and diseases.txt store lncRNA ids and disease ids, respectively;

2.Code

1. ADMM_PCG.m: function computing approximation using ADMM (Alternating Direction Method of Multipliers)

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

3. GMCLDA_demo.m: predict potential lncRNA-disease associations using geometric matrix completion;

4. Laplacian.m : function computing Laplacian matrix;

5. prox_nuclearnorm.m: function calculating approximation of nuclearnorm;

6. sample_sparse_AtA.m: function sparse sampling

7. sample_sparse_t.m: function projecting observed elements

8. test_gamma.m: function teting the value of gamma

9. vec.m: function serializing