Topological-Similarity Based Canonical Representations for Biological Link Prediction

IF 3.6 3区生物学 Q2 BIOCHEMICAL RESEARCH METHODS

IEEE/ACM Transactions on Computational Biology and Bioinformatics Pub Date : 2024-09-17 DOI:10.1109/tcbb.2024.3462730

Mengzhen Li, Mustafa Coşkun, Mehmet Koyutürk

引用次数: 0

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基于拓扑相似性的生物链接预测典型表示法

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE/ACM Transactions on Computational Biology and Bioinformatics 工程技术-计算机：跨学科应用

CiteScore

7.50

自引率

6.70%

发文量

479

审稿时长

3 months

期刊介绍： IEEE/ACM Transactions on Computational Biology and Bioinformatics emphasizes the algorithmic, mathematical, statistical and computational methods that are central in bioinformatics and computational biology; the development and testing of effective computer programs in bioinformatics; the development of biological databases; and important biological results that are obtained from the use of these methods, programs and databases; the emerging field of Systems Biology, where many forms of data are used to create a computer-based model of a complex biological system