A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
An Improved Pearson's Correlation Proximity-Based Hierarchical Clustering for Mining Biological Association between Genes
2014
The Scientific World Journal
Microarray gene expression datasets has concerned great awareness among molecular biologist, statisticians, and computer scientists. Data mining that extracts the hidden and usual information from datasets fails to identify the most significant biological associations between genes. A search made with heuristic for standard biological process measures only the gene expression level, threshold, and response time. Heuristic search identifies and mines the best biological solution, but the
doi:10.1155/2014/357873
pmid:25136661
pmcid:PMC4083291
fatcat:5oym3gmo7jeedkgmy3dcrk5zi4