Compedium Model Using Frequency Cumulative Distribution Function for Receptors of Survival Proteins Epidermal Growth Factor and Insulin

Abstract

In this paper I used the frequency and cumulative distribution functions to make a best model of the receptors of the survival proteins i.e. Epidermal Growth Factor Receptor (EGFR) and Insulin Receptor (IRS) using ten concentrations combination of TNF, EGF and Insulin. It has been revealed that survival and apoptosis signals induced by the receptors of EGF and insulin are temporarily separated and this is reflected in my model by the differences between the values of the parameters used. I conducted the analysis using KS-d, KS, AD stat, AD p-value, chi square, chi square p-value and chi square df for different distribution functions for EGFR and IRS. The frequency and cumulative distribution curves for different distribution techniques like exponential, log-normal, normal, gamma, chi-square etc are plotted using chi- square tests.