Application of Elastic Nets Using Phase Transition for Detection of Gene Expression Patterns with Different Carbon Sources
This work develops data interpretation by elastic nets based on statistical mechanics, for the detection of clusters of data structures in an n-dimensional space. The problem is to find patterns of activity in genes of E. coli, which are stressed by different carbon sources that allow them to activate various expressiveness. The results of the study show that for a string node using distinct temperatures distinct phase transitions are shown. As result of phase transitions, changed centroids of respective groupings are observed. At each node, different behaviors revealed by carbon sources applied to genes are observed.
KeywordsPhase transitions Genes Elastic net
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