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Titlebook: Bioinformatics Research and Applications; 16th International S Zhipeng Cai,Ion Mandoiu,Xuan Guo Conference proceedings 2020 Springer Nature

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發(fā)表于 2025-3-21 19:13:15 | 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16th International S
影響因子2023Zhipeng Cai,Ion Mandoiu,Xuan Guo
視頻videohttp://file.papertrans.cn/188/187172/187172.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Bioinformatics Research and Applications; 16th International S Zhipeng Cai,Ion Mandoiu,Xuan Guo Conference proceedings 2020 Springer Nature
影響因子.This book constitutes the proceedings of the 16th International Symposium on Bioinformatics Research and Applications, ISBRA 2020, held in Moscow, Russia, in December 2020.. The 23 full papers and 18 short papers presented in this book were carefully reviewed and selected from 131 submissions. They were organized in topical sections named: genome analysis; systems biology; computational proteomics; machine and deep learning; and data analysis and methodology..
Pindex Conference proceedings 2020
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書目名稱Bioinformatics Research and Applications影響因子(影響力)




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https://doi.org/10.1007/978-3-322-93111-5ion term to dispatch gene-disease associations to individual isoforms, and reversely aggregate these dispatched associations to affiliated genes. Next, it fuses different genomics and transcriptomics data to replenish gene-disease associations and to induce a linear classifier for predicting isoform
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Funktionen und ihre Ableitungen,a and reduce the chance of filtering out potential candidates overlooked by a single clustering. In the search stage, EpIntMC applies Entropy score to screen SNPs in each cluster, and uses Jaccard similarity to merge the most similar clusters into candidate sets. After that, EpIntMC uses exhaustive
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Konventionen und Begriffe zu diesem Buch,oth naturally occurring human variants and somatic mutations in cancer. In the context of cancer,?~3?M somatic mutations were extracted from over 10,000 cancerous human samples. Of the entire human proteome, 593 protein-coding genes show statistically significant bias towards harmful mutations. Thes
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Konventionen und Begriffe zu diesem Buch,e classic structural variants that can be detected by state-of-the-art methods (e.g., SVIM and Sniffles), our experiments demonstrate recall improvements of up-to . without harming the precisions (i.e., above .). We also point out three directions to further improve structural variant detection in t
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