Stellar-Mass Black Hole Optimization for Biclustering Microarray Gene Expression Data

@article{Rengeswaran2015StellarMassBH,
  title={Stellar-Mass Black Hole Optimization for Biclustering Microarray Gene Expression Data},
  author={Balamurugan Rengeswaran and A. Natarajan and K. Premalatha},
  journal={Applied Artificial Intelligence},
  year={2015},
  volume={29},
  pages={353 - 381}
}
  • Balamurugan Rengeswaran, A. Natarajan, K. Premalatha
  • Published 2015
  • Computer Science
  • Applied Artificial Intelligence
  • DNA microarray gene expression data analysis has provided new insights into gene function, disease pathophysiology, disease classification, and drug development. Biclustering in gene expression data is a subset of the genes demonstrating consistent patterns over a subset of the conditions. The proposed work finds the significant biclusters in large expression data using a novel optimization technique called stellar-mass black hole optimization (SBO). This optimization algorithm is inspired from… CONTINUE READING

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