Design and Procedures for the Investigation Conducted

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Abstract

In this chapter, the design of each proposed case study model mentioned in Chapter 3 is presented with their different experimental procedures. The chapter includes the data preparation, suitable parameters and data pre-processing, and detailed design of two case studies. Case 1: examining the accuracy and efficiency (time complexity) of high-performance gene selection and cancer classification algorithms; Case 2: A two-stage hybrid multi-filter feature selection method for high colon-cancer classification. It shows the experimental setup and environment and the description of the hardware and software components used.

Publisher

IGI Global

Reference17 articles.

1. Examining applying high performance genetic data feature selection and classification algorithms for colon cancer diagnosis

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3. Dang, V. Q. (2014). Evolutionary Approaches for Feature Selection in Biological Data (PhD Thesis). Edith Cowan University, Perth, Australia.

4. Study of Classification Accuracy of Microarray Data for Cancer Classification Using Hybrid, Wrapper and Filter Feature Selection Method.;S.Dash;Proceedings of the International Conference on Bioinformatics & Computational Biology (BIOCOMP),2012

5. Hu, Y. (2010). Personalised Modelling Framework and Systems for Gene Data Analysis and Biomedical Applications (PhD Thesis). Auckland University of Technology.

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