Biodata Mining

SCI期刊
Biodata Mining
中文名称:
生物数据挖掘
期刊缩写:
Biodata Min.
影响因子:
4
ISSN:
print: 1756-0381
研究领域:
MATHEMATICAL & COMPUTATIONAL BIOLOGY-
创刊年份:
2008年
h-index:
23
自引率:
0.00%
Gold OA文章占比:
100.00%
原创研究文献占比:
96.55%
SCI收录类型:
Science Citation Index Expanded (SCIE) || Scopus (CiteScore) || Directory of Open Access Journals (DOAJ)
期刊介绍英文:
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 metabolomic data. Topical areas include, but are not limited to: -Development, evaluation, and application of novel data mining and machine learning algorithms. -Adaptation, evaluation, and application of traditional data mining and machine learning algorithms. -Open-source software for the application of data mining and machine learning algorithms. -Design, development and integration of databases, software and web services for the storage, management, retrieval, and analysis of data from large scale studies. -Pre-processing, post-processing, modeling, and interpretation of data mining and machine learning results for biological interpretation and knowledge discovery.
CiteScore:
CiteScoreSJRSNIPCiteScore排名
7.90.9581.413
学科
排名
百分位
大类:Mathematics
小类:Computational Mathematics
11 / 189
94%
大类:Computer Science
小类:Computational Theory and Mathematics
17 / 176
90%
大类:Computer Science
小类:Computer Science Applications
166 / 817
79%
大类:Biochemistry, Genetics and Molecular Biology
小类:Genetics
76 / 347
78%
大类:Biochemistry, Genetics and Molecular Biology
小类:Biochemistry
104 / 438
76%
大类:Biochemistry, Genetics and Molecular Biology
小类:Molecular Biology
130 / 410
68%
发文信息
中科院SCI期刊分区
大类 小类 TOP期刊 综述期刊
3区 生物学
2区 数学与计算生物学 MATHEMATICAL & COMPUTATIONAL BIOLOGY
WOS期刊分区
学科分类
Q1MATHEMATICAL & COMPUTATIONAL BIOLOGY
历年影响因子
2015年1.6400
2016年1.5770
2017年1.8570
2018年2.3010
2019年2.6720
2020年2.5220
2021年4.0790
2022年4.5000
2023年4.0000
历年发表
2012年22
2013年25
2014年34
2015年45
2016年41
2017年42
2018年27
2019年22
2020年22
2021年53
2022年28
投稿信息
出版语言:
English
出版国家(地区):
ENGLAND
审稿时长:
23 weeks
出版商:
BioMed Central
编辑部地址:
CAMPUS, 4 CRINAN ST, LONDON, ENGLAND, N1 9XW

Biodata Mining - 最新文献

Deep joint learning diagnosis of Alzheimer's disease based on multimodal feature fusion.

Pub Date : 2024-11-05 DOI: 10.1186/s13040-024-00395-9 Jingru Wang, Shipeng Wen, Wenjie Liu, Xianglian Meng, Zhuqing Jiao

Ensemble feature selection and tabular data augmentation with generative adversarial networks to enhance cutaneous melanoma identification and interpretability.

Pub Date : 2024-10-30 DOI: 10.1186/s13040-024-00397-7 Vanesa Gómez-Martínez, David Chushig-Muzo, Marit B Veierød, Conceição Granja, Cristina Soguero-Ruiz
查看全部
免责声明:
本页显示期刊或杂志信息,仅供参考学习,不是任何期刊杂志官网,不涉及出版事务,特此申明。如需出版一切事务需要用户自己向出版商联系核实。若本页展示内容有任何问题,请联系我们,邮箱:info@booksci.cn,我们会认真核实处理。
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信