Showing 1 - 10 of 12
Haplotype assembly is to reconstruct a pair of haplotypes from SNP values observed in a set of individual DNA fragments. In this paper, we focus on studying minimum error correction (MEC) model for the haplotype assembly problem and explore self-organizing map (SOM) methods for this problem....
Persistent link: https://www.econbiz.de/10010870426
Identification of (overlapping) communities/clusters in a complex network is a general problem in data mining of network data sets. In this paper, we devise a novel algorithm to identify overlapping communities in complex networks by the combination of a new modularity function based on...
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The world-wide web forms a large directed graph, whose vertices are documents and edges are links pointing from one document to another. Here we demonstrate that despite its apparent random character, the topology of this graph has a number of universal scale-free characteristics. We introduce a...
Persistent link: https://www.econbiz.de/10011057397
We demonstrate that stability criteria can be used to calculate the maximum angle of stability, θm, of a granular medium composed of spherical particles in three dimensions and circular discs in two dimensions. We apply the results to wet granular material by calculating the dependence of θm...
Persistent link: https://www.econbiz.de/10011058950
Random networks with complex topology are common in Nature, describing systems as diverse as the world wide web or social and business networks. Recently, it has been demonstrated that most large networks for which topological information is available display scale-free features. Here we study...
Persistent link: https://www.econbiz.de/10011060346
We develop a framework for simulating a realistic, evolving social network (a city) into which a disease is introduced. We compare our results to prevaccine era measles data for England and Wales, and find that they capture the quantitative and qualitative features of epidemics in populations...
Persistent link: https://www.econbiz.de/10011060510
We present the methods and results of a two-stage modeling process that generates candidate gene-regulatory networks of the bacterium B.subtilis from experimentally obtained, yet mathematically underdetermined microchip array data. By employing a computational, linear correlative procedure to...
Persistent link: https://www.econbiz.de/10010589631