2017
DOI: 10.1016/j.eij.2016.12.001
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Gene expression based cancer classification

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Cited by 58 publications
(39 citation statements)
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“…Here we can find that SVM method has the highest accuracy. The authors [7] proposed the different classifier to colon cancer gene expression data set. In paper [8], a work on the microarray data of the human genome sequence of the colon cancer and leukemia patient.…”
Section: Related Workmentioning
confidence: 99%
“…Here we can find that SVM method has the highest accuracy. The authors [7] proposed the different classifier to colon cancer gene expression data set. In paper [8], a work on the microarray data of the human genome sequence of the colon cancer and leukemia patient.…”
Section: Related Workmentioning
confidence: 99%
“…[20] Poisson-based measures and K-means clustering algorithm is to group tags with similar count profiles across libraries. An effective ensemble [21] approach is proposed. Ensemble classifier increases the performance of the classification, and also improves the confidence of the results.…”
Section: Computational Analysis Of Gene Expression:-mentioning
confidence: 99%
“…Classification of cancer by molecular level has gained the interest of researchers because it provides the diagnosis of disease in a more systematic, accurate and objective manner for several types of cancer. An ensemble system, a set of individually trained classifiers presented in [2] whose decisions integrates with majority voting, weighted voting and Naïve Bayes combination.…”
Section: Introductionmentioning
confidence: 99%
“…The ensemble method in [2] also provided solutions enhancing the accuracy of the result, applied ensemble technique to more cancer types, and avoiding the problems related to over fitting. However, to improve tumour classification accuracy, different classifiers have to be used as base members.…”
Section: Introductionmentioning
confidence: 99%