Mathematical Analysis using Frequency and Cumulative Distribution functions for Mitogenic Pathway

Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/8763

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DC Field	Value	Language
dc.contributor.author	Jain, Shruti	-
dc.date.accessioned	2022-12-29T05:59:46Z	-
dc.date.available	2022-12-29T05:59:46Z	-
dc.date.issued	2016	-
dc.identifier.uri	http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/8763	-
dc.description.abstract	In this paper we have used the mathematical analysis using frequency and cumulative distribution functions (Gaussian, weibull, triangular, normal, log normal, half normal etc) for JNK, MK2 and ERK which are the part of mitogenic pathways to make a best model of the survival/ death proteins. We have calculated KS, AD (statistics & p- value), chi-square (p- value and df) for frequency and cumulative distribution functions using kolmogrorov- smirrnov, chi- square and spapiro wilk tests. Results with half normal distribution function are the best as their AD and chi square values are the maximum.	en_US
dc.language.iso	en	en_US
dc.publisher	Jaypee University of Information Technology, Solan, H.P.	en_US
dc.subject	Mitogenic pathways	en_US
dc.subject	Kolmogorov Smirnov	en_US
dc.subject	Andesrson darling	en_US
dc.subject	Chi-square tests	en_US
dc.title	Mathematical Analysis using Frequency and Cumulative Distribution functions for Mitogenic Pathway	en_US
dc.type	Article	en_US
Appears in Collections:	Journal Articles

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