Soft Computing in Bioinformatics

CREATED: 200612290747

• Granular computing
• Genetic algorithms ** multiple objective GA ** Pareto optimal solutions ** VEGA, MOGA, NSGA
• Rough sets ** lower and upper approximations ** discover redundancies and dependencies between features ** discernability matrix -> reducts
• Rough clustering ** fuzzy clustering ** rough c-means
• Rough feature selections
• Focus on clustering, classification, rule mining ** low cost, high precision solution
• Protein structure ** secondary ** tertiary ** docking
• Micro array gene expression

selecting a set of relevant genes

identify causal and classification relationships

gene clustering (similar changes)

data (samples) clustering

gene regulatory network discovery