Towards Structure-sensitive Hypertext Categorization

Mehler, Alexander; Gleim, Rüdiger; Dehmer, Matthias

doi:10.1007/3-540-31314-1_49

Cited by 9 publications

(5 citation statements)

References 10 publications

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“…Let be a network, and be a graph distance measure. Having a set of networks , the graph prototype can be expressed by [21] , [23] , [45] : We see that in Eq. 1 gives the mean distance from network to all other networks in .…”

Section: Methodsmentioning

confidence: 99%

“…This is another strong-point of this method, as it can be modified to make use of other, customized graph distance measures. To demonstrate the selection of a graph prototype [21] , [23] we make use of prostate cancer gene expression studies. 25% of newly diagnosed male cancers in the US are prostate cancers [24] , which makes it an attractive target for ongoing biomedical research.…”

Section: Introductionmentioning

confidence: 99%

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Integrative Network Biology: Graph Prototyping for Co-Expression Cancer Networks

et al. 2011

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Network-based analysis has been proven useful in biologically-oriented areas, e.g., to explore the dynamics and complexity of biological networks. Investigating a set of networks allows deriving general knowledge about the underlying topological and functional properties. The integrative analysis of networks typically combines networks from different studies that investigate the same or similar research questions. In order to perform an integrative analysis it is often necessary to compare the properties of matching edges across the data set. This identification of common edges is often burdensome and computational intensive. Here, we present an approach that is different from inferring a new network based on common features. Instead, we select one network as a graph prototype, which then represents a set of comparable network objects, as it has the least average distance to all other networks in the same set. We demonstrate the usefulness of the graph prototyping approach on a set of prostate cancer networks and a set of corresponding benign networks. We further show that the distances within the cancer group and the benign group are statistically different depending on the utilized distance measure.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Integrative Network Biology: Graph Prototyping for Co-Expression Cancer Networks

et al. 2011

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“…However, note that the problem of mapping web pages or websites to graphs is not unique and several methods have been proposed to do so [31,55]. After deriving the hypertext graphs, concrete problems to use this apparatus would involve investigating navigational paths induced by different learners.…”

Section: Assessmentmentioning

confidence: 99%

Learning Systems Biology: Conceptual Considerations toward a Web-Based Learning Platform

2013

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Within recent years, there is an increasing need to train students, from biology and beyond, in quantitative methods that are relevant to cope with data-driven biology. Systems Biology is such a field that places a particular focus on the functional aspect of biology and molecular interacting processes. This paper deals with the conceptual design of a web-based course and its content for educating students in systems biology. We discuss several learning strategies and problems when dealing with structural hypertext patterns that might occur in the context of web-based learning platforms. Finally, we explain the content of the course modules and its features such as its usability and the impact on the learner.

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“…Also the measures could be used to determine graph isomorphism efficiently with low error rate and to classify graphs. We note that graph classification has been intricate towards large sets of graphs, see, e.g., [40][41][42].…”

Section: Introductionmentioning

confidence: 99%

Encoding structural information uniquely with polynomial-based descriptors by employing the Randić matrix

Dehmer

Marcel

Shi

2015

Applied Mathematics and Computation

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Towards Structure-sensitive Hypertext Categorization

Cited by 9 publications

References 10 publications

Integrative Network Biology: Graph Prototyping for Co-Expression Cancer Networks

Integrative Network Biology: Graph Prototyping for Co-Expression Cancer Networks

Learning Systems Biology: Conceptual Considerations toward a Web-Based Learning Platform

Encoding structural information uniquely with polynomial-based descriptors by employing the Randić matrix

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