《Biodata Mining》雜志的最新年發(fā)文量為32篇。
這表明該刊在每年都會精選并發(fā)表一定數(shù)量的高質(zhì)量文章,以保持其在數(shù)學(xué)與計(jì)算生物學(xué)領(lǐng)域的學(xué)術(shù)影響力。
該刊聚焦于生物學(xué)-數(shù)學(xué)與計(jì)算生物學(xué)領(lǐng)域的前沿研究,致力于推動該領(lǐng)域新技術(shù)和新知識的傳播與應(yīng)用。同時(shí)它積極鼓勵(lì)研究人員詳細(xì)發(fā)表其高質(zhì)量的實(shí)驗(yàn)研究和理論成果。
該刊的平均審稿周期約為 23 Weeks 。
Biodata Mining 雜志發(fā)文統(tǒng)計(jì)
文章名稱引用次數(shù)
- Gene set analysis methods: a systematic comparison11
- Encodings and models for antimicrobial peptide classification for multi-resistant pathogens10
- Investigating the parameter space of evolutionary algorithms8
- Knomics-Biota - a system for exploratory analysis of human gut microbiota data8
- Combining DNA methylation and RNA sequencing data of cancer for supervised knowledge extraction7
- PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia5
- Use case driven evaluation of open databases for pediatric cancer research5
- ViSEAGO: a Bioconductor package for clustering biological functions using Gene Ontology and semantic similarity5
- Grasping frequent subgraph mining for bioinformatics applications4
- Connecting genetics and gene expression data for target prioritisation and drug repositioning4
國家/地區(qū)發(fā)文量
- USA33
- CHINA MAINLAND18
- Israel5
- GERMANY (FED REP GER)3
- Russia3
- South Korea3
- Belgium2
- Brazil2
- England2
- Portugal2