投票
发表于 2025-3-26 23:37:50
Improving Metagenomic Classification Using Discriminative k-mers from Sequencing Data,library with novel discriminative k-mers from the input sequencing reads. We evaluated the performance in different conditions against several other tools and the results showed an improved F-measure, especially when close reference genomes are not available..Availability:
神经
发表于 2025-3-27 04:39:04
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路标
发表于 2025-3-27 07:27:18
Cancer Breakpoint Hotspots Versus Individual Breakpoints Prediction by Machine Learning Models, criterion of hotspot selection for all cancer types but there are three to four distinct groups of cancer with similar properties. Overall the presented results point to the necessity to choose different hotspots selection criteria for different types of cancer.
Dna262
发表于 2025-3-27 12:42:57
Conference proceedings 2020ssia, 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 an
Infuriate
发表于 2025-3-27 13:50:15
Warenbuchungen (ohne Umsatzsteuer), (2) devise an exact algorithm for decisiveness, (3) develop problem reduction rules, and use them to obtain efficient algorithms for inputs with few loci, and (4) devise an integer linear programming formulation of the decisiveness problem, which allows us to analyze data sets that arise in practice.
遭受
发表于 2025-3-27 18:12:32
Checking Phylogenetic Decisiveness in Theory and in Practice, (2) devise an exact algorithm for decisiveness, (3) develop problem reduction rules, and use them to obtain efficient algorithms for inputs with few loci, and (4) devise an integer linear programming formulation of the decisiveness problem, which allows us to analyze data sets that arise in practice.
medieval
发表于 2025-3-27 21:57:52
0302-9743 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 a
incite
发表于 2025-3-28 05:09:30
https://doi.org/10.1007/978-3-8351-9029-0mutations collected in public databases such as PhyloTree. Experimental results on real and simulated datasets show that our mutation analysis methods have accuracy comparable to that of state-of-the-art methods based on haplogroup frequency estimation for both single-individual samples and two-individual mixtures, with a much lower running time.
抛物线
发表于 2025-3-28 06:35:16
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我吃花盘旋
发表于 2025-3-28 13:35:47
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