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  • Search: subject:"Protein–protein interaction"
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Protein–protein interaction networks 3 Business network 2 Complex networks 2 Decomposition method 2 Dekompositionsverfahren 2 Network 2 Netzwerk 2 Social network 2 Soziales Netzwerk 2 Theorie 2 Theory 2 Unternehmensnetzwerk 2 protein-protein interaction networks 2 Benders decomposition 1 Combinatorial techniques 1 Correlation 1 Disease genes prediction 1 Essential genes 1 Evolutionary inference 1 Ganzzahlige Optimierung 1 Human genes 1 Integer programming 1 Mathematical programming 1 Mathematische Optimierung 1 Module 1 Network analysis with biological applications 1 Network motif 1 Network structure 1 Noise 1 Non-induced subgraphs 1 Power law 1 Probabilistic group-based centrality 1 Protein-protein interaction networks 1 Protein–Protein interaction networks 1 Protein–protein interaction 1 Protein–protein interaction (PPI) network 1 Protein–protein interaction network 1 Protein–protein-interaction networks 1 Random matrix theory 1 Rich nodes 1
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Undetermined 11
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Article 11
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Article in journal 3 Aufsatz in Zeitschrift 3
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Undetermined 8 English 3
Author
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Vogiatzis, Chrysafis 3 Camur, Mustafa C. 2 Agrawal, Ankit 1 Baskerville, Kim 1 Camur, Mustafa Can 1 Dhasmana, Nitesh 1 Dwivedi, Sanjiv K. 1 FANG, JYWE-FEI 1 Gao, Z.Y. 1 Glauche, Ingmar 1 Grassberger, Peter 1 Greiner, Martin 1 HUANG, CHIEN-HUNG 1 Huang, Jiun-Yan 1 Jalan, Sarika 1 Kuhnt, Mathias 1 LEE, PO-HAN 1 LIU, HSIANG-CHUAN 1 Li, Guanghui 1 Liang, Cheng 1 Luo, Jiawei 1 Musso, Gabriel 1 NG, KA-LOK 1 Paczuski, Maya 1 Penner, Orion 1 Sarkar, Camellia 1 Shao, Feng-jing 1 Sharkey, Thomas 1 Sharkey, Thomas C. 1 Song, Dan 1 Sood, Vishal 1 Sui, Yi 1 Sun, Ren-cheng 1 Wang, Jin-long 1 Wang, Ying 1 Wu, Shun-yao 1 Zhao, H. 1
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Physica A: Statistical Mechanics and its Applications 7 Advances in Complex Systems (ACS) 1 European journal of operational research : EJOR 1 INFORMS journal on computing : JOC 1 INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences 1
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RePEc 8 ECONIS (ZBW) 3
Showing 1 - 10 of 11
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The stochastic pseudo-star degree centrality problem
Camur, Mustafa C.; Sharkey, Thomas C.; Vogiatzis, Chrysafis - In: European journal of operational research : EJOR 308 (2023) 2, pp. 525-539
Persistent link: https://www.econbiz.de/10014283097
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The star degree centrality problem : a decomposition approach
Camur, Mustafa C.; Sharkey, Thomas; Vogiatzis, Chrysafis - In: INFORMS journal on computing : JOC ; charting new … 34 (2022) 1, pp. 93-112
Persistent link: https://www.econbiz.de/10013358891
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Identification of essential proteins using induced stars in protein-protein interaction networks
Vogiatzis, Chrysafis; Camur, Mustafa Can - In: INFORMS journal on computing : JOC 31 (2019) 4, pp. 703-718
Persistent link: https://www.econbiz.de/10012125735
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Quantifying randomness in protein–protein interaction networks of different species: A random matrix approach
Agrawal, Ankit; Sarkar, Camellia; Dwivedi, Sanjiv K.; … - In: Physica A: Statistical Mechanics and its Applications 404 (2014) C, pp. 359-367
We analyze protein–protein interaction networks for six different species under the framework of random matrix theory … quantifies long range correlations in eigenvalues, for all protein–protein interaction networks follow random matrix prediction …
Persistent link: https://www.econbiz.de/10010931567
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CombiMotif: A new algorithm for network motifs discovery in protein–protein interaction networks
Luo, Jiawei; Li, Guanghui; Song, Dan; Liang, Cheng - In: Physica A: Statistical Mechanics and its Applications 416 (2014) C, pp. 309-320
Discovering motifs in protein–protein interaction networks is becoming a current major challenge in computational …
Persistent link: https://www.econbiz.de/10010939896
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Analysis of human genes with protein–protein interaction network for detecting disease genes
Wu, Shun-yao; Shao, Feng-jing; Sun, Ren-cheng; Sui, Yi; … - In: Physica A: Statistical Mechanics and its Applications 398 (2014) C, pp. 217-228
, this paper firstly takes essential genes as reference to analyze the topological properties of human genes with protein–protein … interaction network. Empirical results demonstrate that nonessential disease genes are topologically more important and closer to …
Persistent link: https://www.econbiz.de/10010744301
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Tomography of functional organization in protein–protein interaction network
Huang, Jiun-Yan - In: Physica A: Statistical Mechanics and its Applications 388 (2009) 10, pp. 2072-2080
In recent years, after high throughput PPI data was available, studies have focused on unraveling how proteins organize their functionality from architecture of the PPI network. We examine the functional organization of a PPI network by dividing the network into layered structure around a...
Persistent link: https://www.econbiz.de/10011061066
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Node similarity within subgraphs of protein interaction networks
Penner, Orion; Sood, Vishal; Musso, Gabriel; … - In: Physica A: Statistical Mechanics and its Applications 387 (2008) 14, pp. 3801-3810
We propose a biologically motivated quantity, twinness, to evaluate local similarity between nodes in a network. The twinness of a pair of nodes is the number of connected, labeled subgraphs of size n in which the two nodes possess identical neighbours. The graph animal algorithm is used to...
Persistent link: https://www.econbiz.de/10011060773
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Organizations of rich nodes in complex networks
Zhao, H.; Gao, Z.Y. - In: Physica A: Statistical Mechanics and its Applications 381 (2007) C, pp. 473-481
ρ in World Wide Web, while in protein–protein Interaction network, a scaling law can be observed in describing the …
Persistent link: https://www.econbiz.de/10011057218
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HIERARCHICAL AND TOPOLOGICAL STUDY OF THE PROTEIN–PROTEIN INTERACTION NETWORKS
LEE, PO-HAN; HUANG, CHIEN-HUNG; FANG, JYWE-FEI; LIU, … - In: Advances in Complex Systems (ACS) 08 (2005) 04, pp. 383-397
We employ the random graph theory approach to analyze the protein–protein interaction database DIP. Several global … topological parameters are used to characterize the protein–protein interaction networks (PINs) for seven organisms. We find that … fruit fly protein–protein interaction dataset does not have convincing evidence in favor of the hierarchical network model …
Persistent link: https://www.econbiz.de/10005080965
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