کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6883576 1444175 2018 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Gene-based Collaborative Filtering using recommender system
ترجمه فارسی عنوان
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موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
The recommender system (RS) has achieved substantial evolution in this information age of the twenty-first century, with no exception to biological domain. While RS has been effectively exploited in analysis of biological data for gene prediction, it has raised interesting research challenges such as how to explore the gene interest (Gi) and recommend the genes for individual patients. To meet these research challenges, we propose a novel TOP-N Gene-based Collaborative Filtering (GeneCF) algorithm based on Gi of patients. The GeneCF algorithm is aimed for matching more accurate recommendations about genes to the patients, with exceptional precision and coverage achieved. The GeneCF algorithm has been tested and evaluated on a hepatocellular carcinoma (HCC) gene expression database. We found that six genes could be the cause of liver cancer: AMP, SAA1, S100P, SPP1 and CY2A7 and AFP. The GeneCF algorithm contributes to help doctors provide smarter, customized care for cancer patients.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Electrical Engineering - Volume 65, January 2018, Pages 332-341
نویسندگان
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