Patterns

雜志介紹

Patterns雜志介紹

《Patterns》是一本以English為主的開放獲取國際優秀期刊，中文名稱模式，本刊主要出版、報道領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為6.7，最新CiteScore 指數為10.6。

本刊近期中國學者發表的論文主要有：

• Self-supervised graph representation learning integrates multiple molecular networks and decodes gene-disease relationships

  Author: Wang, Yi; Sun, Zijun; He, Qiushun; Li, Jiwei; Ni, Ming; Yang, Meng

• Enhanced metagenomic deep learning for disease prediction and consistent signature recognition by restructured microbiome 2D representations

  Author: Shen, Wan Xiang; Liang, Shu Ran; Jiang, Yu Yang; Chen, Yu Zong

• Continuous diagnosis and prognosis by controlling the update process of deep neural networks

  Author: Sun, Chenxi; Li, Hongyan; Song, Moxian; Cai, Derun; Zhang, Baofeng; Hong, Shenda

• TriNet: A tri-fusion neural network for the prediction of anticancer and antimicrobial peptides

  Author: Zhou, Wanyun; Liu, Yufei; Li, Yingxin; Kong, Siqi; Wang, Weilin; Ding, Boyun; Han, Jiyun; Mou, Chaozhou; Gao, Xin; Liu, Juntao

英文介紹

Patterns雜志英文介紹

Patterns is a high-quality open access journal published by Cell Press, which publishes groundbreaking original research in various fields of data science. We are committed to sharing data science solutions for cross disciplinary problems. Patterns cover a wide global audience, including computer scientists, researchers in data intensive fields, data administrators, and policy makers. We adhere to the principle of fairness, ensuring that the data, software, workflows, algorithms, and other research results we publish are searchable, accessible, interoperable, and reusable. Patterns are the home of data scientists and researchers in both academic and industrial data intensive fields. This journal shares data science solutions from various disciplines, including computational science, physical science, life sciences, social sciences, and humanities.