International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06) TC-ID3: A TESTCODE Based ID3 Classifier for Protein Coding Region Identification Sydney Australia November 28-December 01 ISBN: 0-7695-2731-0
Genes contain their information as specific sequence of nucleotides or bases that are found in DNA molecules. These specific sequences encode instructions on how to make proteins. But the regions of these genes that code for proteins may occupy only a small region of the sequence. Identifying the coding region of the sequence is of vital importance in understanding these genes. This process is automated by using classifiers. In this paper we intend to improve the efficiency of one such classifier, the ID3 Decision Tree Classifier by using a new attribute, the TESTCODE method.
Citation:
Srinivasan T., Sathish M., Vamsi G. Krishna, Vinodh Krishnamoorthy, "TC-ID3: A TESTCODE Based ID3 Classifier for Protein Coding Region Identification," cimca, pp.110, International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb