Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31836
Determination of an Efficient Differentiation Pathway of Stem Cells Employing Predictory Neural Network Model

Authors: Mughal Yar M, Israr Ul Haq, Bushra Noman


The stem cells have ability to differentiated themselves through mitotic cell division and various range of specialized cell types. Cellular differentiation is a way by which few specialized cell develops into more specialized.This paper studies the fundamental problem of computational schema for an artificial neural network based on chemical, physical and biological variables of state. By doing this type of study system could be model for a viable propagation of various economically important stem cells differentiation. This paper proposes various differentiation outcomes of artificial neural network into variety of potential specialized cells on implementing MATLAB version 2009. A feed-forward back propagation kind of network was created to input vector (five input elements) with single hidden layer and one output unit in output layer. The efficiency of neural network was done by the assessment of results achieved from this study with that of experimental data input and chosen target data. The propose solution for the efficiency of artificial neural network assessed by the comparatative analysis of “Mean Square Error" at zero epochs. There are different variables of data in order to test the targeted results.

Keywords: Computational shcmin, meiosis, mitosis, neuralnetwork, Stem cell SOM;

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1282


[5] Shakti Mehrotra, Om Prakash, B.N Mishra, B. Dwevedi "Efficiency of neural networks for prediction of in vitro culture conditions and inoculum properties for optimum productivity"
[6] Dina Goren-Bar, Tsvi Kuflik, Dror Lev "
[6] Supervised Learning for Automatic Classification fo Documents using Self-Organizing Maps".
[7] Kasthurirangan Gopalakrishnan, Siddhartha Khaitan and Anshu Manik "Enhanced Clustering Analysis and Visulization Using Kohonen's Self- Organizing Feature Map Network".
[10] Neural Network Design. By Martin T. Hagan, Howard B. Demuth, Mark H. Beale.
[11] Nazmul Karim M, Yoshida T, Rivera SL, Saucedo VM, Eikens B, Oh GS (1997) "Global and local neural network models".
[12] Hishimota Y (1997) Application of artificial neural network and genetic algorithms to agriculture systems. Compute Electron Agric.