کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
5134 342 2016 7 صفحه PDF ندارد دانلود رایگان
عنوان انگلیسی مقاله
Using support vector regression in gene selection and fuzzy rule generation for relapse time prediction of breast cancer
ترجمه فارسی عنوان
با استفاده از رگرسيون بردار حمايتي در انتخاب ژن و توليد قانون قاعده فازي براي پيش بيني زمان عود بيماري سرطان پستان
کلمات کلیدی
رگرسیون بردار پشتیبانی؛ منطق فازی نوع 2؛ زمان رفع
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بیو مهندسی (مهندسی زیستی)
چکیده انگلیسی

Gene expression profiles have been recently used in survival analysis, tumor classification and ER status identification. The prediction of breast cancer recurrence based on gene expression profile has been regarded in some previous studies in which the procedures were based on the concept of regression functions and fuzzy systems. In this study, a method based on the combination of these two concepts is presented; not only a method for gene selection, but also a systematic way to create fuzzy rules are going to be offered. Due to the ability of type-2 fuzzy systems in handling of uncertain systems, the proposed model is developed to type-2. The results show that this model has been improved in comparison to previous ones.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biocybernetics and Biomedical Engineering - Volume 36, Issue 3, 2016, Pages 466–472
نویسندگان
, ,