Biodata Mining

Journal Title：Biodata Mining

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.

BioData Mining 是一本开放获取、开放的同行评审期刊，涵盖应用于高维生物和生物医学数据的数据挖掘各个方面的研究，重点关注从大规模遗传、转录组、基因组、蛋白质组学和代谢组学数据。

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。

-传统数据挖掘和机器学习算法的适配、评估和应用。

-用于应用数据挖掘和机器学习算法的开源软件。

-设计、开发和集成数据库、软件和网络服务，用于存储、管理、检索和分析来自大规模研究的数据。

-用于生物解释和知识发现的数据挖掘和机器学习结果的预处理、后处理、建模和解释。

Biodata Mining创刊于2008年，由BMC出版商出版，收稿方向涵盖MATHEMATICAL & COMPUTATIONAL BIOLOGY全领域，此刊是中等级别的SCI期刊，所以过审相对来讲不是特别难，但是该刊专业认可度不错，仍然是一本值得选择的SCI期刊 。平均审稿速度23 Weeks，影响因子指数2.672，该期刊近期没有被列入国际期刊预警名单，广大学者值得一试。