IMPLEMENTATION OF MARKER PROTEINS USING STANDARDISED EFFECT

Authors

Abstract

In this paper we have discussed the null hypothesized mean,  standardized effect, true population mean, group sample size,  population S.D., type I error rate (Alpha),  critical value ,and power of different marker proteins (AkT, EGFR, ERK, JNK, MK2, IRS and FKHR) theoretically and validate it with Minitab and Statistica Software. Different plots have been plotted between power and sample size, power and standardized effect, power and type 1 error rate. Later we have plotted a correlation graph for different marker proteins which shows mean, SD, max, min, histogram plot, and scatter plot for each marker protein.

Author Biography

Shruti Jain, Jaypee University of Information Technology

  

Shruti Jain was born in Ambala Cantt. She received PhD (Jaypee University of Information Technology, 2012); M-Tech (Rajasthan Vidyapeeth University, 2007); B-Tech (Kurukshetra University, 2004). She has published more than 25 papers in Scopus indexed journals and 20 papers in IEEE conferences. She is a senior member of IEEE and IAENG. Her area of interest is Bio-electronics and VLSI. She completed one externally funded project. She guided 1 PhD student, and member of many committees.

References

. S. Jain, Communication of signals and responses leading to cell survival / cell death using Engineered Regulatory Networks. PhD Thesis, Jaypee University of Information Technology, Solan, Himachal Pradesh, India, 2012.

. S. Jain, P.K. Naik, R. Sharma, A Computational Modeling of cell survival/ death using VHDL and MATLAB Simulator, Digest Journal of Nanomaterials and Biostructures, 4(4), 2009, pp 863- 879.

. S. Jain, P.K. Naik, System Modeling of cell survival and cell death : A deterministic model using Fuzzy System, International Journal of Pharma and BioSciences, 3(4), 2012, pp 358-373.

. S. Jain, P.K. Naik, Communication of signals and responses leading to cell death using Engineered Regulatory Networks, Research Journal of Pharmaceutical, Biological and Chemical Sciences, 3(3), July – Sep 2012, pp 492-508.

. G Suzanne, A. J. Kevin., G. A. John, A. E. Pace., A. D. Lauffenburger, and K. P. Sorger, A compendium of signals and responses trigerred by prodeath and prosurvival cytokines, Manuscript M500158-MCP200, 2005.

. S. Jain S, P.K. Naik, S.V. Bhooshan, Mathematical modeling deciphering balance between cell survival and cell death using Tumor Necrosis Factor α, Research Journal of Pharmaceutical, Biological and Chemical Sciences,2(3),2011, pp 574-583.

. T. A. Libermann , T. A. Razon., A. D. Bartal, Y. Yarden., J. Schlessinger and H. Soreq, Expression of epidermal growth factor receptors in human brain tumors, Cancer Res., 44,1984, pp 753-760.

. N. Normanno, A. De Luca, C. Bianco, L. Strizzi, M. Mancino, M. R. Maiello,, A. Carotenuto, G. De Feo, F. Caponiqro, and D. S. Salomon, Epidermal growth factor receptor (EGFR) signaling in cancer, Gene , vol 366, 2006, pp 2–16.

. S. Jain, Compedium model using frequency / cumulative distribution function for receptors of survival proteins: Epidermal growth factor and insulin, Network Biology , 6(4),2016, pp 101-110.

. M. F. White, Insulin Signaling in Health and Disease, Science, 302, 2003, pp 1710–1711.

. S. Jain S, P.K. Naik, S.V. Bhooshan., Mathematical modeling deciphering balance between cell survival and cell death using insulin, Network Biology, 1(1), 2011, pp 46-58.

. S. Jain, D.S. Chauhan, Linear and Non Linear Modeling of Protein Kinase B/ AkT, Proceedings of International Conference on Information and Communication Technology for Sustainable Development (ICT4SD - 2015), Ahmedabad, India, 2015, July 3-4.

. S. Jain S, P.K. Naik, S.V. Bhooshan, Compendium Model of AkT for Cell Survival/Death and its Equivalent BioCircuit, International Journal of Soft Computing and Engineering, 2(3), 2012, pp 91-97.

. C.Arteaga, “Targeting HER1/EGFR: a molecular approach to cancer therapy†Semin Oncol, vol 30, 2003, pp 314.

. S. Jain S, P.K. Naik, S.V. Bhooshan, Model of Mitogen Activated Protein Kinases for Cell Survival/Death and its Equivalent Bio-Circuit,Current Research Journal of Biological Sciences, 2(1), 2010, pp 59-71.

. S. Jain, D.S. Chauhan, Mathematical Analysis of Receptors For Survival Proteins, International Journal of Pharma and Bio Sciences, 6(3), 2015, pp 164-176.

. S. Jain, Regression analysis on different mitogenic pathways, Network Biology, 6(2), 2016, pp 40-46.

. S. Jain, Mathematical Analysis using Frequency and Cumulative Distribution functions for Mitogenic Pathway, Research Journal of Pharmaceutical, Biological and Chemical Sciences, 7(3), 2016, pp. 262-272.

. S. Jain , Implementation of Fuzzy System using Operational Transconductance Amplifier for ERK pathway of EGF/ Insulin leading to Cell Survival/ Death, J Pharm Biomed Sci, 4(8), 2014, pp 701-707.

. S. Jain, D.S. Chauhan, Implementation of fuzzy system using different voltages of OTA for JNK pathway leading to cell survival/ death, Network Biology, 5(2), 2015, pp 62-70.

. S Jain, Mathematical Analysis and Probability Density Function of FKHR pathway for Cell Survival /Death, Proceedings of Control System and Power Electronics – CSPE 2015, Banglore, India, 2015, Aug 1-2.

. https://en.wikipedia.org/wiki/Effect_size

Published

2017-05-27
Statistics
Abstract Display: 450
PDF Downloads: 235

Issue

Section

Articles