Ensemble Feature Selection for Breast Cancer Classification using Microarray Data
نویسندگان
چکیده
منابع مشابه
ADABOOST ENSEMBLE ALGORITHMS FOR BREAST CANCER CLASSIFICATION
With an advance in technologies, different tumor features have been collected for Breast Cancer (BC) diagnosis, processing of dealing with large data set suffers some challenges which include high storage capacity and time require for accessing and processing. The objective of this paper is to classify BC based on the extracted tumor features. To extract useful information and diagnose the tumo...
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The DNA microarray technology enables us to measure the expression levels of thousands of genes simultaneously, providing great chance for cancer diagnosis and prognosis. The number of genes often exceeds tens of thousands, whereas the number of subjects available is often no more than a hundred. Therefore, it is necessary and important to perform gene selection for classification purpose. A go...
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Introduction: Early diagnosis of breast cancer and the identification of effective genes are important issues in the treatment and survival of the patients. Gene expression data obtained using DNA microarray in combination with machine learning algorithms can provide new and intelligent methods for diagnosis of breast cancer. Methods: Data on the expression of 9216 genes from 84 patients across...
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ژورنال
عنوان ژورنال: Inteligencia Artificial
سال: 2020
ISSN: 1988-3064,1137-3601
DOI: 10.4114/intartif.vol23iss65pp100-114