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biomarker discovery by imperialist competitive algorithm in mass spectrometry data for ovarian cancer prediction
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نویسنده
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pirhadi shiva ,maghooli keivan ,yousefi moteghaed niloofar ,garshasbi masoud ,mousavirad jalaleddin
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منبع
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journal of medical signals and sensors - 2021 - دوره : 11 - شماره : 2 - صفحه:108 -119
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چکیده
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Background: mass spectrometry is a method for identifying proteins and could be used for distinguishing between proteins in healthy and nonhealthy samples. this study was conducted using mass spectrometry data of ovarian cancer with high resolution. usually, diagnostic and monitoring tests are done according to sensitivity and specificity rates; thus, the aim of this study is to compare mass spectrometry of healthy and cancerous samples in order to find a set of biomarkers or indicators with a reasonable sensitivity and specificity rates. methods: therefore, combination methods were used for choosing the optimum feature set as ttest, entropy, bhattacharya, and an imperialist competitive algorithm with knearest neighbors classifier. the resulting feature from each method was feed to the c5 decision tree with 10fold crossvalidation to classify data. results: the most important variables using this method were identified and a set of rules were extracted. similar to most frequent features, repetitive patterns were not obtained; the generalized rule induction method was used to identify the repetitive patterns. conclusion: finally, the resulting features were introduced as biomarkers and compared with other studies. it was found that the resulting features were very similar to other studies. in the case of the classifier, higher sensitivity and specificity rateswith a lower number of features were achieved when compared with other studies.
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کلیدواژه
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biomarker discovery ,imperialist competitive algorithm ,mass spectrometry high‑throughput proteomics data ,ovarian cancer
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آدرس
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islamic azad university, tehran science and research branch, department of biomedical engineering, iran, islamic azad university, tehran science and research branch, department of biomedical engineering, iran, shahid beheshti university of medical sciences, faculty of medicine, department of biomedical engineering and medical physics, iran, tarbiat modares university, faculty of medical sciences, department of medical genetics, iran, sabzevar university of new technologies, department of engineering, iran
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پست الکترونیکی
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jalalmoosavirad@gmail.com
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Biomarker Discovery by Imperialist Competitive Algorithm in Mass Spectrometry Data for Ovarian Cancer Prediction
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Authors
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Abstract
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Keywords
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