Title :
TC-ID3: A TESTCODE Based ID3 Classifier for Protein Coding Region Identification
Author :
Srinivasan, T. ; Sathish, M. ; Krishna, Vamsi G. ; Krishnamoorthy, Vinodh
Author_Institution :
Dept. of Comput. Sci. & Eng., Sri Venkateswara Coll. of Eng., Sriperumbudur
fDate :
Nov. 28 2006-Dec. 1 2006
Abstract :
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.
Keywords :
DNA; biology computing; decision trees; encoding; genetics; molecular biophysics; pattern classification; proteins; sequences; DNA molecule; TC-ID3; TESTCODE based ID3 decision tree classifier; gene; protein coding region identification; sequence encode instruction; Biochemistry; Classification tree analysis; Computational intelligence; DNA; Decision trees; Humans; Organisms; Protein engineering; Sequences; Testing;
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7695-2731-0
DOI :
10.1109/CIMCA.2006.207