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 是一本開放獲取、開放的同行評審期刊，涵蓋了應(yīng)用于高維生物和生物醫(yī)學(xué)數(shù)據(jù)的數(shù)據(jù)挖掘的各個方面的研究，重點(diǎn)研究從大規(guī)模遺傳、轉(zhuǎn)錄組、基因組、蛋白質(zhì)組和代謝組數(shù)據(jù)中發(fā)現(xiàn)知識的計算方面。

主題領(lǐng)域包括但不限于：

-新型數(shù)據(jù)挖掘和機(jī)器學(xué)習(xí)算法的開發(fā)、評估和應(yīng)用。

-傳統(tǒng)數(shù)據(jù)挖掘和機(jī)器學(xué)習(xí)算法的調(diào)整、評估和應(yīng)用。

-用于數(shù)據(jù)挖掘和機(jī)器學(xué)習(xí)算法應(yīng)用的開源軟件。

-設(shè)計、開發(fā)和集成數(shù)據(jù)庫、軟件和 Web 服務(wù)，用于存儲、管理、檢索和分析來自大規(guī)模研究的數(shù)據(jù)。

-數(shù)據(jù)挖掘和機(jī)器學(xué)習(xí)結(jié)果的預(yù)處理、后處理、建模和解釋，用于生物解釋和知識發(fā)現(xiàn)。

Biodata Mining創(chuàng)刊于2008年，由BioMed Central出版商出版，收稿方向涵蓋MATHEMATICAL & COMPUTATIONAL BIOLOGY全領(lǐng)域，此刊是中等級別的SCI期刊，所以過審相對來講不是特別難，但是該刊專業(yè)認(rèn)可度不錯，仍然是一本值得選擇的SCI期刊 。平均審稿速度 23 Weeks ，影響因子指數(shù)4，該期刊近期沒有被列入國際期刊預(yù)警名單，廣大學(xué)者值得一試。