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Titlebook: Bioinformatics Research and Applications; 17th International S Yanjie Wei,Min Li,Zhipeng Cai Conference proceedings 2021 Springer Nature Sw

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發(fā)表于 2025-3-21 16:27:21 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Bioinformatics Research and Applications
期刊簡稱17th International S
影響因子2023Yanjie Wei,Min Li,Zhipeng Cai
視頻videohttp://file.papertrans.cn/188/187168/187168.mp4
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Bioinformatics Research and Applications; 17th International S Yanjie Wei,Min Li,Zhipeng Cai Conference proceedings 2021 Springer Nature Sw
影響因子This book constitutes the proceedings of the 17th International Symposium on Bioinformatics Research and Applications, ISBRA 2021, held in Shenzhen, China, in November 2021.. The 51 full papers presented in this book were carefully reviewed and selected from 135 submissions. They were organized in topical sections named: AI and disease; computational proteomics; biomedical imaging; drug screening and drug-drug interaction prediction; Biomedical data; sequencing data analysis..
Pindex Conference proceedings 2021
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書目名稱Bioinformatics Research and Applications影響因子(影響力)




書目名稱Bioinformatics Research and Applications影響因子(影響力)學科排名




書目名稱Bioinformatics Research and Applications網(wǎng)絡公開度




書目名稱Bioinformatics Research and Applications網(wǎng)絡公開度學科排名




書目名稱Bioinformatics Research and Applications被引頻次




書目名稱Bioinformatics Research and Applications被引頻次學科排名




書目名稱Bioinformatics Research and Applications年度引用




書目名稱Bioinformatics Research and Applications年度引用學科排名




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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/187168.jpg
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978-3-030-91414-1Springer Nature Switzerland AG 2021
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https://doi.org/10.1007/978-3-031-56038-5Inflammatory bowel disease (IBD) is a result of the dysbiotic microbial composition together with aberrant mucosal immune responses, while the underlying mechanism is far from clear. In this report, we creatively proposed that when correlating with the host metabolism, functional microbial communiti
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Learning Lessons from Past Fiascoese also critical to personalized medicine. In this study, we identified drug-specific biomarkers by integrating protein expression data, drug treatment data and survival outcome of 7076 patients from The Cancer Genome Atlas (TCGA). We first defined cancer-drug groups, where each cancer-drug group con
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