# 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}
}
• 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… Expand
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