تعداد نشریات | 27 |
تعداد شمارهها | 558 |
تعداد مقالات | 5,770 |
تعداد مشاهده مقاله | 8,027,174 |
تعداد دریافت فایل اصل مقاله | 5,395,100 |
A computational method to analyze the similarity of biological sequences under uncertainty | ||
Iranian Journal of Fuzzy Systems | ||
مقاله 4، دوره 16، شماره 6، بهمن و اسفند 2019، صفحه 33-41 اصل مقاله (219.55 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22111/ijfs.2019.5017 | ||
نویسندگان | ||
A. Khastan* ؛ L. Hooshyar | ||
Department of Mathematics, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan 45137-66731, Iran | ||
چکیده | ||
In this paper, we propose a new method to analyze the difference and similarity of biological sequences, based on the fuzzy sets theory. Considering the sequence order and some chemical and structural properties, we present a computational method to cluster the biological sequences. By some examples, we show that the new method is relatively easy and we are able to compare the sequences of arbitrary lengths. | ||
کلیدواژهها | ||
Similarity of biological sequences؛ fuzzy polynucleotide space؛ fuzzy clustering؛ unit hypercube؛ fuzzy similarity matrix | ||
آمار تعداد مشاهده مقاله: 553 تعداد دریافت فایل اصل مقاله: 303 |