کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4945282 1438416 2017 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An empirical comparison of popular structure learning algorithms with a view to gene network inference
ترجمه فارسی عنوان
یک مقایسه تجربی از الگوریتم های یادگیری ساختار محبوب با توجه به استنتاج شبکه ژن
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
In this work, we study the performance of different structure learning algorithms in the context of inferring gene networks from transcription data. We consider representatives of different structure learning approaches, some of which perform unrestricted searches, such as the PC algorithm and the Gobnilp method, and some of which introduce prior information on the structure, such as the K2 algorithm. Competing methods are evaluated both in terms of their predictive accuracy and their ability to reconstruct the true underlying network. A real data application based on an experiment performed by the University of Padova is also considered.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Approximate Reasoning - Volume 88, September 2017, Pages 602-613
نویسندگان
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