Titlebook: Algorithms in Bioinformatics; 5th International Wo Rita Casadio,Gene Myers Conference proceedings 2005 Springer-Verlag Berlin Heidelberg 20

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書目名稱Algorithms in Bioinformatics影響因子(影響力)




書目名稱Algorithms in Bioinformatics影響因子(影響力)學(xué)科排名




書目名稱Algorithms in Bioinformatics網(wǎng)絡(luò)公開度




書目名稱Algorithms in Bioinformatics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Algorithms in Bioinformatics被引頻次




書目名稱Algorithms in Bioinformatics被引頻次學(xué)科排名




書目名稱Algorithms in Bioinformatics年度引用




書目名稱Algorithms in Bioinformatics年度引用學(xué)科排名




書目名稱Algorithms in Bioinformatics讀者反饋




書目名稱Algorithms in Bioinformatics讀者反饋學(xué)科排名

GRIN

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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.

Ovulation

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

假

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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