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BioData Mining

短名BioData Min.
Journal Impact4.20
国际分区MATHEMATICAL & COMPUTATIONAL BIOLOGY(Q1)
期刊索引SCI Q1中科院 3 区
ISSN1756-0381
h-index38
国内分区生物学(3区)生物学数学与计算生物学(2区)

《BioData Mining》是一本开放获取的同行评审期刊,专注于高维生物和生物医学数据的数据挖掘研究。期刊涵盖的主题包括:新型数据挖掘和机器学习算法的开发、评估与应用;传统数据挖掘和机器学习算法的适应、评估与应用;开源软件在数据挖掘和机器学习中的应用;数据库、软件和网络服务的设计、开发与集成,以支持大规模研究数据的存储、管理、检索与分析;以及数据的预处理、后处理、挖掘和机器学习结果的建模与解释,以促进生物学解释和知识发现。

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涉及主题计算机科学生物遗传学化学数学人工智能生物化学数据挖掘基因机器学习计算生物学统计医学程序设计语言心理学工程类内科学生物信息学哲学物理
出版信息出版商: BioMed Central Ltd出版周期: 期刊类型: journal
基本数据创刊年份: 2009原创研究文献占比96.55%自引率:0.00%Gold OA占比: 100.00%
平均审稿周期 网友分享经验:23 Weeks

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