Comparison of MLP NN Approach with PCA and ICA for Extraction of Hidden Regulatory Signals in Biological Networks

Comparison of MLP NN Approach with PCA and ICA for Extraction of Hidden Regulatory Signals in Biological Networks

The biologists now face with the masses of high dimensional datasets generated from various high-throughput technologies, which are outputs of complex inter-connected biological networks at different levels driven by a number of hidden regulatory signals. So far, many computational and statistical m...

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Bibliographic Details
Main Authors: Alireza Zomorrodi, Bahram Nasernejad, Jahanshah Kabudian
Format: Article
Language:English
Published: Iranian Institute of Research and Development in Chemical Industries (IRDCI)-ACECR 2006-12-01
Series:Iranian Journal of Chemistry & Chemical Engineering
Subjects:
regulatory signal
biological network
pca
ica
mlp nn
Online Access:http://www.ijcce.ac.ir/article_7624_d75db37e1f1909bda2d69318a40cdbbe.pdf

Internet

http://www.ijcce.ac.ir/article_7624_d75db37e1f1909bda2d69318a40cdbbe.pdf

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