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BioData Mining
短名 | BioData Min. |
Journal Impact | 4.20 |
国际分区 | MATHEMATICAL & COMPUTATIONAL BIOLOGY(Q1) |
期刊索引 | SCI Q1中科院 3 区 |
ISSN | 1756-0381 |
h-index | 38 |
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。
期刊主页投稿网址阅读文献时,研飞即可帮你快速了解期刊,查询影响因子与分区,智能高亮期刊预警!
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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