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Online Analysis of Microarray Data Using Artificial Neural Networks

  • Protocol
Microarray Data Analysis

Part of the book series: Methods in Molecular Biology™ ((MIMB,volume 377))

Abstract

Herein we have set forth a detailed method to analyze microarray data using artificial neural networks (ANN) for the purpose of classification, diagnosis, or prognosis. All aspects of this analysis can be carried out online via a website. The reader is guided through each step of the analysis including data partitioning, preprocessing, ANN architecture, and learning parameter selection, gene selection, and interpretation of the results. This is one possible method of many but we have found it suitable to microarray data and attempted to discuss universal guidelines for this type of analysis along the way.

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© 2007 Humana Press Inc., Totowa, NJ

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Greer, B., Khan, J. (2007). Online Analysis of Microarray Data Using Artificial Neural Networks. In: Korenberg, M.J. (eds) Microarray Data Analysis. Methods in Molecular Biology™, vol 377. Humana Press. https://doi.org/10.1007/978-1-59745-390-5_3

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  • DOI: https://doi.org/10.1007/978-1-59745-390-5_3

  • Publisher Name: Humana Press

  • Print ISBN: 978-1-58829-540-8

  • Online ISBN: 978-1-59745-390-5

  • eBook Packages: Springer Protocols

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