Parbhane, Rupali V. ; Tambe, Sanjeev S. ; Kulkarni, Bhaskar D. (2000) Ann modeling of dna sequences: new strategies using dna shape code Computers & Chemistry, 24 (6). pp. 699-711. ISSN 0097-8485
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Official URL: http://linkinghub.elsevier.com/retrieve/pii/S00978...
Related URL: http://dx.doi.org/10.1016/S0097-8485(00)00072-3
Abstract
Two new encoding strategies, namely, wedge and twist codes, which are based on the DNA helical parameters, are introduced to represent DNA sequences in artificial neural network (ANN)-based modeling of biological systems. The performance of the new coding strategies has been evaluated by conducting three case studies involving mapping (modeling) and classification applications of ANNs. The proposed coding schemes have been compared rigorously and shown to outperform the existing coding strategies especially in situations wherein limited data are available for building the ANN models.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Elsevier Science. |
| Keywords: | Dna Sequence Analysis; Twist Angle; Wedge Angle; Direction of the Deflection Angle; Error-back-propagation Algorithm |
| ID Code: | 17327 |
| Deposited On: | 16 Nov 2010 07:58 |
| Last Modified: | 06 Jun 2011 09:23 |
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