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



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



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



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



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



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



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



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



9. CuRSaR: CCA Using MRMS Criterion and Rough Sets



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



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



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



13. SoBT-RFW: Brain Tumor Segmentation Method



14. BMS: Brain MRI Segmentation Method



15. TGS-MWPRFPC: Text-Graphics Segmentation Method



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



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



18. μHEM: Differentially Expressed MicroRNA Selection Method



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



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



21. RHEPM: Rough Hypercuboid Approach for Feature Selection



22. FRSAC: Fuzzy-Rough Supervised Attribute Clustering Algorithm



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



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



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



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