An Analysis of Rule Based Mining for Protein Phosphorylation |
Author(s): |
| S.Padmapriya , Shrimati Indira Gandhi College Trichy; R.Indra, Shrimati Indira Gandhi College, Tiruchirapalli; J.Sengottuvelu, Value Tech |
Keywords: |
| Rule Mining, Protein Phosphorylation, Association Rules |
Abstract |
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The study of proteins and its structure is a vast and complex subject. Earlier there has been lots of effort to classify and categorize the proteins structure. The focus of the current study is to generate rules based on information extraction models using data mining techniques. The architecture should not have computational overheads and the rule-based Information Extraction engine should implement all the features and display the patterns in a consistent mode. In normal information extraction networks, it tends to transmit rules in response to extracellular protein structure stimuli and other intracellular balance changes. The current work focuses on protein phosphorylation information, but the IE pipeline based model architecture can be instantly ported to the extraction of types other than phosphorylation. The rules generated are shown as graphs for analysis purposes. |
Other Details |
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Paper ID: IJSRDV3I100124 Published in: Volume : 3, Issue : 10 Publication Date: 01/01/2016 Page(s): 1117-1119 |
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