利用共表达、氧化石墨烯和机器学习技术识别阿尔茨海默病的候选基因

IF 2 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY

Network Modeling and Analysis in Health Informatics and Bioinformatics Pub Date : 2022-02-04 DOI:10.1007/s13721-021-00349-9

Shailendra Sahu, P. S. Dholaniya, T. Rani

引用次数: 2

摘要

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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Identifying the candidate genes using co-expression, GO, and machine learning techniques for Alzheimer’s disease

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来源期刊

Network Modeling and Analysis in Health Informatics and Bioinformatics MATHEMATICAL & COMPUTATIONAL BIOLOGY-

CiteScore

5.40

自引率

4.30%

发文量

期刊介绍： NetMAHIB publishes original research articles and reviews reporting how graph theory, statistics, linear algebra and machine learning techniques can be effectively used for modelling and analysis in health informatics and bioinformatics. It aims at creating a synergy between these disciplines by providing a forum for disseminating the latest developments and research findings; hence, results can be shared with readers across institutions, governments, researchers, students, and the industry. The journal emphasizes fundamental contributions on new methodologies, discoveries and techniques that have general applicability and which form the basis for network based modelling, knowledge discovery, knowledge sharing and decision support to the benefit of patients, healthcare professionals and society in traditional and advanced emerging settings, including eHealth and mHealth .