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Vol. 126, Issue 3, March 2011, pp.125-133

 

Bullet

 

Growth Factor Inhibiting PKC Sensor in E-coli Environment Using Classification Technique and ANN Method

 

T. K. BASAK, T. RAMANUJAM, S. JEYBALAN, Madhubala BHATT, Deepali GARG, Richa GARG

Krishna Engineering College, Ghaziabad, UP, India
Tel.: 0120-2899731, fax: 0120-2898413
E-mail: tkb20042001@yahoo.co.in

 

 

Received: 28 October 2010   /Accepted: 17 March 2011   /Published: 29 March 2011

 

Abstract: Protein kinease C plays an important role in angiogenesis and apoptosis in cancer. During the phase of angiogenesis the growth factor is up regulated where as during apoptosis the growth factor is down regulated. For down regulation of growth factor the pH environment of intra-cellular fluid has a specific range in the alkaline medium. Protein kinease C along with E-coli through interaction of Selenometabolite is able to maintain that alkaline environment for the apoptosis of the cancer cell with inhibition of the growth factor related to antioxidant/oxidant ratio. The present paper through implementation of Artificial Neural Network and Decision Tree has focused on metastasis linked with Capacitance Relaxation phenomena and down regulation of growth factor (VGEF). In this paper a distributed neural network has been applied to a data mining problem for classification of cancer stages inorder to have proper diagnosis of patient with PKC sensor. The Network was trained off line using 270 patterns each of 6 inputs. Using the weight obtained during training, fresh patterns were tested for accuracy in diagnosis linked with the stages of cancer.

 

Keywords: Growth factor inhibition, Metastasis linked with capacitance relaxation, Antioxidant/oxidant ratio, Classification in ANN and Decision tree

 

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