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Titlebook: Bioinformatics Research and Applications; 15th International S Zhipeng Cai,Pavel Skums,Min Li Conference proceedings 2019 Springer Nature S

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發(fā)表于 2025-3-21 17:15:11 | 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15th International S
影響因子2023Zhipeng Cai,Pavel Skums,Min Li
視頻videohttp://file.papertrans.cn/188/187167/187167.mp4
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Bioinformatics Research and Applications; 15th International S Zhipeng Cai,Pavel Skums,Min Li Conference proceedings 2019 Springer Nature S
影響因子.This book constitutes the proceedings of the 15th International Symposium on Bioinformatics Research and Applications, ISBRA 2019, held in Barcelona, Spain, in June 2019...The 22 full papers presented in this book were carefully reviewed and selected from 95 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 2019
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書目名稱Bioinformatics Research and Applications影響因子(影響力)




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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




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




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Sorting by Reversals, Transpositions, and Indels on Both Gene Order and Intergenic Sizesmaterial. In the literature, several models were designed to estimate the number of events that occurred during the evolution, but these models represent genomes as a sequence of genes, overlooking the genetic material between consecutive genes. However, recent studies show that taking into account
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Modeling SNP-Trait Associations and Realizing Privacy-Utility Tradeoff in Genomic Data Publishingem of privacy preserved kin-genomic data publishing. The major challenge in protecting kin-genomic data privacy is to protect against powerful attackers with abundant background knowledge. We propose a probabilistic model based on factor graph with the knowledge of publicly available GWAS statistics
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Model Revision of Boolean Regulatory Networks at Stable Statenually performed, and consequently prone to error. Moreover, as new experimental data is acquired, models need to be revised and updated. Here, we propose a model revision tool, capable of proposing the set of minimum repairs to render a model consistent with a set of experimental observations. We c
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