Reconstruction of Gene Co-expression Networks to Examine Yeast Microarray Data |
Author(s): |
| Sabyasachi Patra , International Institute of Information Technology, Bhubaneswar; Dinesh Maharana, International Institute of Information Technology, Bhubaneswar |
Keywords: |
| Biological network, GCN, PCC, EDM, GeCON, Microarray Data |
Abstract |
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A biological network such as Protein-protein interaction (PPI), Gene regulatory network, Gene Co-expression Network (GCN) which describes complex activities of genes, proteins, and products of them participate in different chemical reactions and also identifies the biological functionality. These networks constructed from different types of large biological datasets like DNA microarray data. In this paper, we have discussed the reconstruction of GCN with different Co-expression measures like Euclidean distance, Pearson's correlation coefficient (PCC) and Gene CO-expression Network called GeCON. We have discussed the behaviour of GeCON by comparing it with global similarities measures like Euclidean distance and correlation coefficient. |
Other Details |
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Paper ID: IJSRDV5I90498 Published in: Volume : 5, Issue : 9 Publication Date: 01/12/2017 Page(s): 702-705 |
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