Dividing protein interaction networks for modular network comparative analysis
نویسندگان
چکیده
منابع مشابه
Dividing protein interaction networks for modular network comparative analysis
Berg, J., Lässig, M., 2006. Cross-species analysis of biological networks by Bayesian alignm ent. Proceedings of the N ational Academ y of Sciences 103 (29), 10967-10972. URL h t t p : / / www. p n a s . o rg /c o n te n t /103/29/10967.a b s t r a c t Blin, G., Sikora, F., V ialette, S., 2009. Q uerying protein-protein in teraction networks. In: ISBRA ’09: Proceedings of the 5 th In ternationa...
متن کاملDividing Protein Interaction Networks for Modular Network
6 The increasing growth of data on protein-protein interaction (PPI) networks has boosted research 7 on their comparative analysis. In particular, recent studies proposed models and algorithms for 8 performing network alignment, that is, the comparison of networks across species for discovering 9 conserved functional complexes. In this paper, we present an algorithm for dividing PPI networks, 1...
متن کاملComparative analysis of protein interaction networks
Recent advances in proteomics and computational biology have lead to a flood of protein interaction data and resulting interaction networks (e.g. (Gavin et al., 2002)). Here I first analyse the status and quality of parts lists (genes and proteins), then comparatively assess large-scale protein interaction data (von Mering et al., 2002) and finally try to identify biological meaningful units (e...
متن کاملDividing Protein Interaction Networks by Growing Orthologous Articulations
The increasing growth of data on protein-protein interaction (PPI) networks has boosted research on their comparative analysis. In particular, recent studies proposed models and algorithms for performing network alignment, the comparison of networks across species for discovering conserved modules. Common approaches for this task construct a merged representation of the considered networks, cal...
متن کاملModular organization of protein interaction networks
MOTIVATION Accumulating evidence suggests that biological systems are composed of interacting, separable, functional modules. Identifying these modules is essential to understand the organization of biological systems. RESULT In this paper, we present a framework to identify modules within biological networks. In this approach, the concept of degree is extended from the single vertex to the s...
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ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2010
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2010.04.005