Parametric and non parametric distribution analysis of AkT for cell survival/death
by Shruti Jain
International Journal of Artificial Intelligence and Soft Computing (IJAISC), Vol. 6, No. 1, 2017

Abstract: AkT (protein kinase B) is a central signalling molecule in the phosphatidylinositol 3-kinase (PI3K) pathway that is frequently activated in human cancer. AkT promotes cell survival/death by activating or deactivating different proteins. In this paper a model was designed using parametric or non parametric distribution analysis. Anderson Darling adjustment values was calculated using maximum likelihood and least square estimators as parametric function in which normal, Kaplan Meier and Herd Johnson tests were done for different distribution functions for ten cominations of TNF/EGF and insulin. For non-parametric analysis: survival and hazard plots were plotted using Kaplan Meier estimator.

Online publication date: Sun, 21-May-2017

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Artificial Intelligence and Soft Computing (IJAISC):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com