期刊名
BioData Mining

BIODATA MIN

ISSN / eISSN
1756-0381 / 1756-0381
目标和范围
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.
研究方向

数学与计算生物学

CiteScore
7.90 查看趋势图
CiteScore 学科排名
类别 分区 排名
Mathematics - Computational Mathematics Q1 #11/189
Mathematics - Computational Theory and Mathematics Q1 #17/176
Mathematics - Computer Science Applications Q1 #166/817
Mathematics - Genetics Q1 #76/347
Mathematics - Biochemistry Q1 #104/438
Mathematics - Molecular Biology Q2 #130/410
Web of Science 核心收藏夹
Science Citation Index Expanded (SCIE) Social Sciences Citation Index (SSCI)
Indexed -
类别 (Journal Citation Reports 2024) 分区
MATHEMATICAL & COMPUTATIONAL BIOLOGY Q1
H-index
23
出版国家或地区
ENGLAND
出版商
BioMed Central
出版年份
2008
年文章数
32
Open Access
YES
通讯方式
CAMPUS, 4 CRINAN ST, LONDON, ENGLAND, N1 9XW
认证评论
注: 认证评论选取于全球各个学术评论平台和社交媒体。
The reviewer raised very specific questions and provided direct suggestions for methodological issues. They also paid close attention to details and pointed out a sentence that was unclear during the translation process.
2023-03-10

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