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Titlebook: Research in Computational Molecular Biology; 23rd Annual Internat Lenore J. Cowen Conference proceedings 2019 Springer Nature Switzerland A

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發(fā)表于 2025-3-21 17:54:14 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Research in Computational Molecular Biology
副標題23rd Annual Internat
編輯Lenore J. Cowen
視頻videohttp://file.papertrans.cn/828/827955/827955.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Research in Computational Molecular Biology; 23rd Annual Internat Lenore J. Cowen Conference proceedings 2019 Springer Nature Switzerland A
描述.This book constitutes the proceedings of the 23.rd. Annual Conference on?Research in Computational Molecular Biology, RECOMB 2019, held in Washington, DC, USA, in April 2019...The 17?extended and 20 short abstracts?presented were carefully reviewed?and selected from 175 submissions. The short abstracts are included in?the back matter of the volume. The papers report on original research in all?areas of computational molecular biology and bioinformatics..
出版日期Conference proceedings 2019
關鍵詞algorithms; artificial intelligence; biological networks; data mining; genetics and association studies;
版次1
doihttps://doi.org/10.1007/978-3-030-17083-7
isbn_softcover978-3-030-17082-0
isbn_ebook978-3-030-17083-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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發(fā)表于 2025-3-21 21:06:27 | 只看該作者
https://doi.org/10.1007/978-3-030-17083-7algorithms; artificial intelligence; biological networks; data mining; genetics and association studies;
板凳
發(fā)表于 2025-3-22 01:33:18 | 只看該作者
Conference proceedings 2019, DC, USA, in April 2019...The 17?extended and 20 short abstracts?presented were carefully reviewed?and selected from 175 submissions. The short abstracts are included in?the back matter of the volume. The papers report on original research in all?areas of computational molecular biology and bioinformatics..
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發(fā)表于 2025-3-22 07:55:12 | 只看該作者
978-3-030-17082-0Springer Nature Switzerland AG 2019
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發(fā)表于 2025-3-22 10:15:17 | 只看該作者
Research in Computational Molecular Biology978-3-030-17083-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
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發(fā)表于 2025-3-23 01:09:04 | 只看該作者
Clustering of Long-Read Transcriptome Data Using a Greedy, Quality-Value Based Algorithm,es, and read depths. Our results demonstrate that isONclust is a substantial improvement over previous approaches, both in terms of overall accuracy and/or scalability to large datasets. Our tool is available at ..
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發(fā)表于 2025-3-23 01:34:52 | 只看該作者
A Sticky Multinomial Mixture Model of Strand-Coordinated Mutational Processes in Cancer,dent-mutation models or strand oblivous models, achieving substantially higher likelihood on held-out data. We apply this model to characterize the processivity of mutagenic processes across multiple types of cancer in terms of replication and transcriptional strand-coordination.
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發(fā)表于 2025-3-23 07:28:11 | 只看該作者
An Efficient, Scalable and Exact Representation of High-Dimensional Color Information Enabled via dation-level variation detection in metagenomic samples, large scale sequence search, and cdbg-based reference sequence indices. As samples or genomes are added to the cdbg, the color information comes to dominate the space required to represent this data structure..In this paper, we show how to repr
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