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International Journal of Knowledge Discovery in Bioinformatics (IJKDB) Volume 6, Issue 2

Book Description

The International Journal of Knowledge Discovery in Bioinformatics (IJKDB) collects the most significant research and latest practices in computational knowledge discovery approaches to bioinformatics. Containing articles on topics such as systems biology, protein structure, gene expression, and biological data integration, this journal presents a cross-disciplinary approach to the field useful for researchers, practitioners, academicians, mathematicians, statisticians, and computer scientists involved in the many facets of bioinformatics.

This issue contains the following articles:

  • A Particle Swarm Optimization based Hybrid Recommendation System
  • A Latent Feature Model Approach to Biclustering
  • Impact of Swarm Intelligence Techniques in Diabetes Disease Risk Prediction
  • Predictive Toxicity of Conventional Triazole Pesticides by Simulating Inhibitory Effect on Human Aromatase CYP19 Enzyme