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  • Search: subject:"Protein–protein interactions"
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Protein–protein interactions 2 Centrality measures 1 Communicability 1 Conserved proteins 1 Essential gene 1 Fréchet derivative 1 Linear response 1 Spectral graph theory 1 Subcellular locations 1 Unsupervised learning 1 co-occurrence data 1 model-based clustering 1 protein–protein interactions 1 selective sampling 1
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Deem, Michael W. 1 Estrada, Ernesto 1 Frenkel, Daan 1 Gupta, Vishal 1 Hatano, Naomichi 1 Higham, Desmond J. 1 MAMITSUKA, HIROSHI 1 Tan, Taison 1
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Physica A: Statistical Mechanics and its Applications 2 New Mathematics and Natural Computation (NMNC) 1
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Communicability betweenness in complex networks
Estrada, Ernesto; Higham, Desmond J.; Hatano, Naomichi - In: Physica A: Statistical Mechanics and its Applications 388 (2009) 5, pp. 764-774
Betweenness measures provide quantitative tools to pick out fine details from the massive amount of interaction data that is available from large complex networks. They allow us to study the extent to which a node takes part when information is passed around the network. Nodes with high...
Persistent link: https://www.econbiz.de/10010871654
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EFFICIENT UNSUPERVISED MINING FROM NOISY CO-OCCURRENCE DATA
MAMITSUKA, HIROSHI - In: New Mathematics and Natural Computation (NMNC) 01 (2005) 01, pp. 173-193
noisy data set of protein–protein interactions, a typical co-occurrence data set, we further confirmed the performance of …
Persistent link: https://www.econbiz.de/10004977609
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Length, protein–protein interactions, and complexity
Tan, Taison; Frenkel, Daan; Gupta, Vishal; Deem, Michael W. - In: Physica A: Statistical Mechanics and its Applications 350 (2005) 1, pp. 52-62
-scale genome sequencing efforts has been unclear. We propose here that the increasing complexity of protein–protein interactions … protein–protein interactions were used as another measure of the number of interactions to which each S. cerevisiae protein …
Persistent link: https://www.econbiz.de/10010591102
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