BioData Mining is an open access, open peer-reviewed journal encompassing research on all aspects of data mining applied to high-dimensional biological and biomedical data, focusing on computational aspects of knowledge discovery from large-scale genetic, transcriptomic, genomic, proteomic, and metabolomi...
BioData Mining has greatly benefited from the expertise and leadership of the current Editors-in-Chief, and we would like to take this opportunity to thank them for their years of service in supporting and developing the journal. As Dr. Ritchie steps down from her role as Editor-in-Chief, ...
Publishing innovative data science and big data research, BioData Mining advances research on all aspects of data mining applied to high-dimensional ...
《生物数据挖掘》(Biodata Mining)是一本由BioMed Central出版的以MATHEMATICAL & COMPUTATIONAL BIOLOGY为研究特色的国际期刊,发表该领域相关的原创研究文章、评论文章和综述文章,及时报道该领域相关理论、实践和应用学科的最新发现,旨在促进该学科领域科学信息的快速交流。该期刊是一本开放期刊,近三年没有被列入预警名单。
期刊语言:英语 出版区域:英国 定价:0 出版地址:BMC, CAMPUS, 4 CRINAN ST, LONDON, ENGLAND, N1 9XW 期刊邮箱: 投稿网址:https://www.editorialmanager.com/bidm 期刊网址: https://biodatamining.biomedcentral.com/ 出版商网址: https://www.biomedcentral.com/ BIO...
BioData Mining 是一本开放获取、开放的同行评审期刊,涵盖了应用于高维生物和生物医学数据的数据挖掘的各个方面的研究,重点研究从大规模遗传、转录组、基因组、蛋白质组和代谢组数据中发现知识的计算方面。 主题领域包括但不限于: -新型数据挖掘和机器学习算法的开发、评估和应用。
期刊全称Biodata Mining 期刊缩写Biodata Min 影响因子1.577 自引率14.30% SCI 收录情况SCIE收录; ESI 学科分类生物与生化(Biology & Biochemistry) 中科院大类分区生物:4区 中科院小类分区数学与计算生物学3区 是否Top期刊否 是否综述期刊否 官方网站http://www.biodatamining.org/ ...
0 征稿 Aims and scope BioData Mining is an open access, open peer-reviewed, informatics journal encompassing research on all aspects of Artificial Intelligence (AI), Machine Learning, and Visual Analytics, applied to high-dimensional biological and biomedical data, focusing on computational aspects of...
《Biodata Mining》是一本专注于MATHEMATICAL & COMPUTATIONAL BIOLOGY领域的English学术期刊,创刊于2008年,由BioMed Central出版商出版,出版周期1 issue/year。该刊发文范围涵盖MATHEMATICAL & COMPUTATIONAL BIOLOGY等领域,旨在及时、准确、全面地报道国内外MATHEMATICAL & COMPUTATIONAL BIOLOGY工作者在该领域的科学研究等工作...
BioData Mining 是一本开放获取、开放的同行评审期刊,涵盖了应用于高维生物和生物医学数据的数据挖掘的各个方面的研究,重点研究从大规模遗传、转录组、基因组、蛋白质组和代谢组数据中发现知识的计算方面。 主题领域包括但不限于: -新型数据挖掘和机器学习算法的开发、评估和应用。