Prior knowledge guided active modules identification: An integrated multi-objective approach

Engineering & Materials Science

• Functional groups 100%
• Yeast 91%
• Microarrays 86%
• Proteins 69%
• Toxicity 45%
• Cells 37%
• Genes 36%
• Multiobjective optimization 35%
• Evolutionary algorithms 34%
• Ontology 32%

Mathematics

• Prior Knowledge 89%
• Module 50%
• Yeast 21%
• Microarray Data 19%
• Prior Information 17%
• Gene Ontology 13%
• Crosstalk 12%
• Protein-protein Interaction 11%
• Multi-objective Evolutionary Algorithm 11%
• Pareto Solutions 11%
• Algebraic Connectivity 10%
• Biological Networks 10%
• Pareto Optimal Solution 10%
• Toxicity 9%
• Multiobjective Optimization Problems 9%
• Pathway 9%
• Guidance 8%
• Identification Problem 8%
• Data-driven 8%
• p-Value 8%
• Mixture Model 8%
• Connectedness 8%
• Resistance 8%
• Trade-offs 7%
• Coverage 7%
• Signature 7%
• Background 6%
• Objective function 6%
• Knowledge 5%
• Cell 5%
• Interpretation 5%
• Vertex of a graph 4%
• Estimate 3%

Medicine & Life Sciences

• Diclofenac 59%
• Yeasts 41%
• Social Identification 34%
• Protein Databases 32%
• Gene Ontology 29%
• Proteins 9%