کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10225729 1701206 2018 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Classification of Large DNA Methylation Datasets for Identifying Cancer Drivers
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
Classification of Large DNA Methylation Datasets for Identifying Cancer Drivers
چکیده انگلیسی
We run experiments on DNA methylation datasets extracted from The Cancer Genome Atlas, focusing on three tumor types: breast, kidney, and thyroid carcinomas. We perform classifications extracting several methylated sites and their associated genes with accurate performance (accuracy >97%). Results suggest that BIGBIOCL can perform hundreds of classification iterations on hundreds of thousands of features in few hours. Moreover, we compare the performance of our method with other state-of-the-art classifiers and with a wide-spread DNA methylation analysis method based on network analysis. Finally, we are able to efficiently compute multiple alternative classification models and extract - from DNA-methylation large datasets - a set of candidate genes to be further investigated to determine their active role in cancer. BIGBIOCL, results of experiments, and a guide to carry on new experiments are freely available on GitHub at https://github.com/fcproj/BIGBIOCL.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Big Data Research - Volume 13, September 2018, Pages 21-28
نویسندگان
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