雜志介紹

Biodata Mining雜志介紹

《Biodata Mining》是一本以English為主的開放獲取國際優(yōu)秀期刊，中文名稱生物數(shù)據(jù)挖掘，本刊主要出版、報(bào)道生物學(xué)-MATHEMATICAL & COMPUTATIONAL BIOLOGY領(lǐng)域的研究動態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗(yàn)和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進(jìn)展，探討行業(yè)發(fā)展的思路和方法，以促進(jìn)學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為4，最新CiteScore 指數(shù)為7.9。

本刊近期中國學(xué)者發(fā)表的論文主要有：

• Motif mining based on network space compression

  Author: Qiang Zhang, Yuan Xu

• An iteration normalization and test method for differential expression analysis of RNA-seq data

  Author: Yan Zhou, Nan Lin, Baoxue Zhang

• Prediction of protein solvent accessibility using PSO-SVR with multiple sequence-derived features and weighted sliding window scheme

  Author: Jian Zhang, Wenhan Chen, Pingping Sun, Xiaowei Zhao, Zhiqiang Ma

• Mining causal relationships among clinical variables for cancer diagnosis based on Bayesian analysis

  Author: LiMin Wang

英文介紹

Biodata Mining雜志英文介紹

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.