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Gene Reduction for Cancer Classification using Cascaded Neural Network with Gene Masking

Kumar, Raneel and Chand, Krishnil and Lal, Sunil P. (2014) Gene Reduction for Cancer Classification using Cascaded Neural Network with Gene Masking. In: Advances in Artificial Intelligence. Lecture Notes in Computer Science, 8436 . Springer, Heidelberg, pp. 301-306. ISBN 978-3-319-06482-6

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    Abstract

    This paper presents an approach to cancer classification from gene expression profiling using cascaded neural network classifier. The method used aims to reduce the genes required to successfully classify the small round blue cell tumours of childhood (SRBCT) into four categories. The system designed to do this consists of a feedforward neural network and is trained with genetic algorithm. A concept of ‘gene masking’ is introduced to the system which significantly reduces the number of genes required for producing very high accuracy classification.

    Item Type: Book Chapter
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Q Science > QA Mathematics > QA76 Computer software
    Divisions: Faculty of Science, Technology and Environment (FSTE) > School of Computing, Information and Mathematical Sciences
    Depositing User: Raneel Kumar
    Date Deposited: 28 Oct 2015 10:22
    Last Modified: 07 Mar 2017 15:58
    URI: http://repository.usp.ac.fj/id/eprint/8553
    UNSPECIFIED

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