کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6865683 678082 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Pathway activity transformation for multi-class classification of lung cancer datasets
ترجمه فارسی عنوان
تحول فعالیت مسیریابی برای طبقه بندی چند طبقه بندی مجموعه داده های سرطان ریه
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
Pathway-based microarray analysis has been found to be a powerful tool to study disease mechanisms and to identify biological markers of complex diseases like lung cancer. From previous studies, the use of pathway activity transformed from gene expression data has been shown to be more informative in disease classification. However, current works on a pathway activity transformation method are for binary-class classification. In this study, we propose a pathway activity transformation method for multi-class data termed Analysis-of-Variance-based Feature Set (AFS). The classification results of using pathway activity derived from our proposed method show high classification power in three-fold cross-validation and robustness in across dataset validation for all four lung cancer datasets used.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 165, 1 October 2015, Pages 81-89
نویسندگان
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