Integrative Graph-Based Framework for Predicting circRNA Drug Resistance Using Disease Contextualization and Deep Learning

IF 6.7 2区医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Journal of Biomedical and Health Informatics Pub Date : 2024-09-10 DOI:10.1109/jbhi.2024.3457271

Yongtian Wang, Wenkai Shen, Yewei Shen, Shang Feng, Tao Wang, Xuequn Shang, Jiajie Peng

引用次数: 0

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利用疾病上下文和深度学习预测 circRNA 耐药性的基于图谱的综合框架

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 Journal of Biomedical and Health Informatics COMPUTER SCIENCE, INFORMATION SYSTEMS-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

CiteScore

13.60

自引率

6.50%

发文量

1151

期刊介绍： IEEE Journal of Biomedical and Health Informatics publishes original papers presenting recent advances where information and communication technologies intersect with health, healthcare, life sciences, and biomedicine. Topics include acquisition, transmission, storage, retrieval, management, and analysis of biomedical and health information. The journal covers applications of information technologies in healthcare, patient monitoring, preventive care, early disease diagnosis, therapy discovery, and personalized treatment protocols. It explores electronic medical and health records, clinical information systems, decision support systems, medical and biological imaging informatics, wearable systems, body area/sensor networks, and more. Integration-related topics like interoperability, evidence-based medicine, and secure patient data are also addressed.

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