BioData Mining Q1区

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.

《生物数据挖掘》是一本开放存取、开放同行评审的期刊，涵盖了数据挖掘应用于高维生物和生物医学数据的所有方面的研究，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。传统数据挖掘和机器学习算法的适应、评估和应用。-用于数据挖掘和机器学习算法应用的开源软件。设计、开发和集成数据库、软件和网络服务，用于存储、管理、检索和分析大规模研究的数据。-数据挖掘和机器学习结果的预处理、后处理、建模和解释，用于生物解释和知识发现。

《BioData Mining》期刊已被查看： 次

期刊官网投稿信息

分区信息

• 上一篇： AoB Plants
• 下一篇：Advances in Astronomy