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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 | ||
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آمار تعداد مشاهده مقاله: 553 تعداد دریافت فایل اصل مقاله: 303 |
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