BioData Mining

期刊简介：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.

【译文】BioData Mining是一本开放获取、开放同行评审的期刊，涵盖了应用于高维生物和生物医学数据的各个方面，重点关注从大规模遗传、转录组、基因组、蛋白质组和代谢组数据中发现的计算知识。主题领域包括但不限于：-开发、评估和应用新的数据挖掘和机器学习算法。-适应、评估和应用传统的数据挖掘和机器学习算法。-适用于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Web服务，用于存储、管理、检索和分析大规模研究数据。-预处理、后处理、建模和解释数据挖掘和机器学习结果，以进行生物解释和知识发现。