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標(biāo)題: Titlebook: Algorithms in Bioinformatics; 5th International Wo Rita Casadio,Gene Myers Conference proceedings 2005 Springer-Verlag Berlin Heidelberg 20 [打印本頁(yè)]

作者: emanate    時(shí)間: 2025-3-21 17:07
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作者: blackout    時(shí)間: 2025-3-22 13:20
A Faster Algorithm for Detecting Network Motifs a new algorithm for network motif detection which overcomes these drawbacks. Experiments on a testbed of biological networks show our algorithm to be orders of magnitude faster than previous approaches. This allows for the detection of larger motifs in bigger networks than was previously possible, facilitating deeper insight into the field.
作者: Ovulation    時(shí)間: 2025-3-22 18:21
A Faster Algorithm for Detecting Network Motifsd much attention as a useful concept to uncover structural design principles of complex networks. Kashtan et al.?[., 2004] proposed a sampling algorithm for efficiently performing the computationally challenging task of detecting network motifs. However, among other drawbacks, this algorithm suffers
作者: 假    時(shí)間: 2025-3-22 21:29
Reaction Motifs in Metabolic Networkstworks. Novel ways of decomposing the network into modules and motifs that could be considered as the building blocks of a network are being suggested. In this work, we introduce a new definition of motif in the context of metabolic networks. Unlike in previous works on (other) biochemical networks,
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/153276.jpg
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,Funktionelle Anatomie des Fu?es,d much attention as a useful concept to uncover structural design principles of complex networks. Kashtan et al.?[., 2004] proposed a sampling algorithm for efficiently performing the computationally challenging task of detecting network motifs. However, among other drawbacks, this algorithm suffers
作者: Odyssey    時(shí)間: 2025-3-24 09:35
Versorgungsstrukturen in der Zukunft,tworks. Novel ways of decomposing the network into modules and motifs that could be considered as the building blocks of a network are being suggested. In this work, we introduce a new definition of motif in the context of metabolic networks. Unlike in previous works on (other) biochemical networks,
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