Clustering Gene Expression Datasets by Combinatorial Fusion Analysis

Download Now
Provided by: International Journal of Computer Science & Engineering Technology (IJCSET)
Topic: Big Data
Format: PDF
Genomic data that are available in large volumes will define the need for new data analysis techniques and tools. Gene expressions data sets analysis through clustering is a combinatorial optimization problem. Combining with the conception of Harmony search in Optimization theory on combinatrics and with genomic halving technique in game theory, a new algorithm is proposed for clustering the Gene expressions datasets by Combinatorial Fusion Analysis mechanism. Meta heuristic algorithms are one of the best optimization techniques that are useful for finding optimal or near optimal solutions for combinatorial optimization problems whose search space is very huge.
Download Now

Find By Topic