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Titlebook: Bioinformatics Research and Applications; 9th International Sy Zhipeng Cai,Oliver Eulenstein,Daniel Schwartz Conference proceedings 2013 Sp

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21#
發(fā)表于 2025-3-25 05:18:43 | 只看該作者
22#
發(fā)表于 2025-3-25 10:27:38 | 只看該作者
https://doi.org/10.1007/978-3-322-85178-9does not exist a 2-reticulated network for the input trees. We present an algorithm computing a maximum subset of the species set so that a new set of subtrees can be combined into a 2-reticulated network.
23#
發(fā)表于 2025-3-25 15:12:17 | 只看該作者
Identifying Critical Transitions of Biological Processes by Dynamical Network Biomarkers,orks, which drive the whole system to initiate such transitions [1-4]. Examples for complex diseases are also provided to detect pre-disease stages (or detect early-signal of complex diseases) for which traditional methods failed, for demonstrating the effectiveness of this novel approach.
24#
發(fā)表于 2025-3-25 18:25:27 | 只看該作者
25#
發(fā)表于 2025-3-25 22:24:22 | 只看該作者
26#
發(fā)表于 2025-3-26 02:02:31 | 只看該作者
Gene Regulatory Networks from Gene Ontology,h direct and transitive GO regulations are then used to construct a Gene Regulatory Network (GRN). The proposed approach is evaluated on seven E.coli sub-networks extracted from an existing known GRN. Our approach was able to detect the GRN with 85.77% precision, 55.7% recall, and 66.26% F1-score averaged across all seven networks.
27#
發(fā)表于 2025-3-26 06:46:07 | 只看該作者
Reconstructing ,-Reticulated Phylogenetic Network from a Set of Gene Trees,does not exist a 2-reticulated network for the input trees. We present an algorithm computing a maximum subset of the species set so that a new set of subtrees can be combined into a 2-reticulated network.
28#
發(fā)表于 2025-3-26 09:53:34 | 只看該作者
29#
發(fā)表于 2025-3-26 16:35:28 | 只看該作者
30#
發(fā)表于 2025-3-26 20:13:57 | 只看該作者
https://doi.org/10.1007/978-3-0348-6137-3e lists obtained from our method yielded more and better functional enrichment than those obtained from the conventional approach. Consequently, our method promises to be useful in designing cost-effective experiments with small sample sizes.
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