生物数据发掘 SCIE

期刊简介估计审稿时候： 23 Weeks

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 是一本开放取得、开放的同业评审期刊，涵盖了利用于高维生物和生物医学数据的数据发掘的各个方面的研讨，重点研讨从大规模遗传、转录组、基因组、卵白质组和代谢组数据中发明常识的计较方面。

主题范畴包含但不限于：

-新型数据发掘和机械进修算法的开辟、评估和利用。

-传统数据发掘和机械进修算法的调剂、评估和利用。

-用于数据发掘和机械进修算法利用的开源软件。

-设想、开辟和集成数据库、软件和 Web 办事，用于存储、办理、检索和阐发来自大规模研讨的数据。

-数据发掘和机械进修功效的预处置、后处置、建模和诠释，用于生物诠释和常识发明。

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