All source codes are written in C language and compiled in Ubuntu 12.04 LTS 64-bit OS. Download the compressed executable code (e.g. filename.gz) from the corresponding link and then follow the instructions from terminal/console:

$gunzip filename.gz
$chmod 777 filename
$./filename -h

1. ViSOR: View-Specific Optimal Rank Based Joint Subspace Clustering for Multi-Omics Cancer Subtyping



2. D2GDA: Discriminative Deep Generalized Dependency Analysis for Multi-View Data



3. D2CCA: Discriminative Deep Canonical Correlation Analysis for Multi-View Data



4. Rough-Bayes: Rough Sets and Bayes Decision Theory to Select Class-Pair Specific Texture Descriptors for HEp-2 Cell Staining Pattern Recognition



5. DiGId: Multi-View Kernel Learning Using Genomic Data for Identification of Disease Genes



6. SeFGeIM: Sequential Feature Generation using Incremental Multiset Canonical Correlation Analysis



7. ReDMiCA: Regularized Discriminant Multi-View Canonical Correlation Analysis



8. NormS: Low-Rank Joint Subspace Construction for Cancer Subtype Discovery



9. ARoSi: Accurate and Robust Skull Stripping Algorithm for Brain MR Volume



10. FaRoC: Fast and Robust Supervised Canonical Correlation Analysis for Multimodal Omics Data



11. ScaNGraF: Scalable Non-Linear Graph Fusion for Prioritizing Cancer-Causing Genes



12. SiFS: Significance and Functional Similarity Criteria for Disease Gene Selection



13. CuRSaR: CCA Using MRMS Criterion and Rough Sets



14. RelSim: Integrated Method (GE+PPIN) for Disease Gene Selection



15. RPrCM: Rough-Probabilistic Clustering and HMRF Model Based Image Segmentation



16. StoRM: Simultaneous Segmentation and Bias Field Correction in Brain MRI



17. SoBT-RFW: Brain Tumor Segmentation Method



18. BMS: Brain MRI Segmentation Method



19. TGS-MWPRFPC: Text-Graphics Segmentation Method



20. f-MRMS: f-Information and MRMS Criterion for Feature Selection



21. cbd-RFC: City Block Distance Based Rough-Fuzzy Clustering



22. μHEM: Differentially Expressed MicroRNA Selection Method



23. RC2: Rough Sets and Contraharmonic Mean for Bias Field Correction



24. rRFCM: Robust Rough-Fuzzy C-Means Algorithm for Clustering



25. RHEPM: Rough Hypercuboid Approach for Feature Selection



26. FRSAC: Fuzzy-Rough Supervised Attribute Clustering Algorithm



27. RSMRMS: Rough Sets and MRMS Criterion for Feature Selection



28. FRmRMR: Fuzzy-Rough Sets and mRMR Criterion for Feature Selection



29. f-mRMR: f-Information and mRMR Criterion for Feature Selection



30. RFPCM: Rough-Fuzzy-Possibilistic C-Means Algorithm