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Prediction of the functional roles of small molecules in lipid metabolism based on ensemble learning
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نویسنده
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peng c.-r. ,lu w.-c. ,niu b. ,li y.-j. ,hu l.-l.
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منبع
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protein and peptide letters - 2012 - دوره : 19 - شماره : 1 - صفحه:108 -112
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چکیده
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As many diseases like high cholesterol are referred to lipid metabolism,studying the lipid metabolic pathway has a positive effect on finding the knowledge about interactions between different elements within high complex living systems. here,we employed a typical ensemble learning method,bagging learner,to study and predict the possible sub lipid metabolic pathway of small molecules based on physical and chemical features of the compounds. as a result,jackknife cross validation test and independent set test on the model reached 89.85% and 91.46%,respectively. therefore,our predictor may be used for finding the new compounds which participate in lipid metabolic procedures. © 2012 bentham science publishers.
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کلیدواژه
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Bagging; Ensemble learning; KEGG; Lipid metabolism; Metabolic pathway; Small molecules
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آدرس
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school of materials science and engineering,shanghai university,149 yan-chang road, China, school of materials science and engineering,shanghai university,149 yan-chang road,shanghai 200072,china,department of chemistry,college of sciences,shanghai university,99 shang-da road, China, college of life science,shanghai university,99 shang-da road, China, department of chemistry,college of sciences,shanghai university,99 shang-da road, China, department of chemistry,college of sciences,shanghai university,99 shang-da road, China
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Authors
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