Iranian Journal of Biomedical Engineering (IJBME)
نشریه علمی مهندسی پزشکی زیستی

Feature Selection Method based on Subspace Learning and Factorization of Basis Matrix for DNA Micro-Array Datasetsfor DNA Micro-Array Datasets

Document Type : Full Research Paper

Authors

Mahla Dehtaghi Zadeh 1
Farid Saberi-Movahed 2
Mahdi Eftekhari 3

1 M.Sc. Student, Department of Applied Mathematics, Faculty of Sciences and Modern Technologies, Graduate University of Advanced Technology, Kerman, Iran

2 Assistant Professor, Department of Applied Mathematics, Faculty of Sciences and Modern Technologies, Graduate University of Advanced Technology, Kerman, Iran

3 Associate Professor, Department of Computer Engineering, Shahid Bahonar University of Kerman, Kerman, Iran

https://doi.org/10.22041/ijbme.2019.104143.1454
Abstract
DNA micro-array datasets play crucial role in machine learning and recognition of various kinds of cancer structures. Micro-array datasets are typically characterized by the high number of features and the small number of samples. Such problems may result in overfitting and low prediction accuracy of classifiers due to the irrelevant features, and therefore, they are considered as a challenging task in machine learning. The direct way to deal with such challenges is dimensionality reduction of data. In this regard, feature selection method acts as an effective solution for dimensinality reduction and increasing efficiency of learning algorithms. In this paper, by using the concept of “the basis for the DNA micro-array datasets”, a new feature selection method is introduced. To be more specific, rather than utilizing the entire micro-array dataset for tackling the problem of feature selection, a basis that is a muchmore smaller subset of the micro-array dataset is used. This method is based on subspace learning and matrix factorization.  Finally, by making use of the DNA micro-array datasets, the effectiveness of the proposed method is evaluated, and the obtained results are compared with some state-of-the-art supervised feature selection methods.

Keywords

Feature Selection
Subspace Learning
Matrix Factorization
DNA Micro-Array Datasets
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Iranian Journal of Biomedical Engineering (IJBME)
Volume 13, Issue 3
Autumn 2019
Pages 223-234

  • Receive Date 23 February 2019
  • Revise Date 29 September 2019
  • Accept Date 30 September 2019

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