TY - GEN
T1 - Dimensionality reduction for efficient classification of DNA repair genes
AU - Vidya, A.
AU - Manohar, V.
AU - Shwetha, V. P.
AU - Venugopal, K. R.
AU - Patnaik, L. M.
PY - 2012
Y1 - 2012
N2 - DNA damage is an imperative process which plays a crucial role in ageing demanding the need for classification of DNA repair genes into ageing and non-ageing. In our paper, we employ a data mining approach for classifying DNA repair genes using their various characteristic features. The classification models built were difficult to analyze and interpret due to the curse of dimensionality present in the gene dataset. This difficulty is overcome by adopting Dimensionality Reduction which is a well-known pre-processing technique. The Feature subset selection technique along with various search methods is used to reduce the dataset without affecting the integrity of the original dataset. The reduction in the dataset enabled the use of Multilayer perceptron in the efficient analysis of the dataset. The classifiers showed better performance on the reduced dataset when compared to the original dataset.
AB - DNA damage is an imperative process which plays a crucial role in ageing demanding the need for classification of DNA repair genes into ageing and non-ageing. In our paper, we employ a data mining approach for classifying DNA repair genes using their various characteristic features. The classification models built were difficult to analyze and interpret due to the curse of dimensionality present in the gene dataset. This difficulty is overcome by adopting Dimensionality Reduction which is a well-known pre-processing technique. The Feature subset selection technique along with various search methods is used to reduce the dataset without affecting the integrity of the original dataset. The reduction in the dataset enabled the use of Multilayer perceptron in the efficient analysis of the dataset. The classifiers showed better performance on the reduced dataset when compared to the original dataset.
UR - https://www.scopus.com/pages/publications/84865293908
UR - https://www.scopus.com/inward/citedby.url?scp=84865293908&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-31686-9_62
DO - 10.1007/978-3-642-31686-9_62
M3 - Conference contribution
AN - SCOPUS:84865293908
SN - 9783642316852
T3 - Communications in Computer and Information Science
SP - 536
EP - 545
BT - Wireless Networks and Computational Intelligence - 6th International Conference on Information Processing, ICIP 2012, Proceedings
T2 - 6th International Conference on Information Processing, ICIP 2012
Y2 - 10 August 2012 through 12 August 2012
ER -