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د. هاله بنت محمد عبدالرحمن الشملان

Associate Professor

قسم تقنية المعلومات

علوم الحاسب والمعلومات
T83 , Third Floor, Building 6
المنشورات
مقال فى مجلة
2019

A Survey on Hybrid Feature Selection Methods in Microarray Gene Expression Data for Cancer Classification

The emergence of DNA Microarray technology has enabled researchers to analyze the
expression level of thousands of genes simultaneously. The Microarray data analysis is the process of nding
the most informative genes as well as remove redundant and irrelevant genes. One of the most important
applications of the Microarray data analysis is cancer classication. However, the curse of dimensionality and
the curse of sparsity make classifying gene expression proles a challenging task. One of the most effective
methods to overcome these challenges is feature (gene) selection. In this paper, we aim to reviewand compare
the most recent hybrid approaches that employ bio-inspired evolutionary methods as the wrapper method.

رقم المجلد
2019
رقم الانشاء
7
مجلة/صحيفة
IEEE Access
الصفحات
78533-78548
مزيد من المنشورات
publications

The emergence of DNA Microarray technology has enabled researchers to analyze the
expression level of thousands of genes simultaneously. The Microarray data analysis is the process of nding…

2019
publications

Several hybrid gene selection algorithms for cancer classication that employ bio-inspired
evolutionary wrapper algorithm have been proposed in the literature and show good classication…

2019