Literature DB >> 18087753

Spectral plots and the representation and interpretation of biological data.

Anirban Banerjee1, Jürgen Jost.   

Abstract

It is basic question in biology and other fields to identify the characteristic properties that on one hand are shared by structures from a particular realm, like gene regulation, protein-protein interaction or neural networks or foodwebs, and that on the other hand distinguish them from other structures. We introduce and apply a general method, based on the spectrum of the normalized graph Laplacian, that yields representations, the spectral plots, that allow us to find and visualize such properties systematically. We present such visualizations for a wide range of biological networks and compare them with those for networks derived from theoretical schemes. The differences that we find are quite striking and suggest that the search for universal properties of biological networks should be complemented by an understanding of more specific features of biological organization principles at different scales.

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Year:  2007        PMID: 18087753     DOI: 10.1007/s12064-007-0005-9

Source DB:  PubMed          Journal:  Theory Biosci        ISSN: 1431-7613            Impact factor:   1.315


  13 in total

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Authors:  H Jeong; B Tombor; R Albert; Z N Oltvai; A L Barabási
Journal:  Nature       Date:  2000-10-05       Impact factor: 49.962

3.  Network motifs in the transcriptional regulation network of Escherichia coli.

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4.  Network motifs: simple building blocks of complex networks.

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5.  Growing network with local rules: preferential attachment, clustering hierarchy, and degree correlations.

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6.  Evolutionary reconstruction of networks.

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7.  Delays, connection topology, and synchronization of coupled chaotic maps.

Authors:  Fatihcan M Atay; Jürgen Jost; Andreas Wende
Journal:  Phys Rev Lett       Date:  2004-04-08       Impact factor: 9.161

8.  The structure of the nervous system of the nematode Caenorhabditis elegans.

Authors:  J G White; E Southgate; J N Thomson; S Brenner
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1986-11-12       Impact factor: 6.237

9.  Collective dynamics of 'small-world' networks.

Authors:  D J Watts; S H Strogatz
Journal:  Nature       Date:  1998-06-04       Impact factor: 49.962

10.  Molecular evidence for an ancient duplication of the entire yeast genome.

Authors:  K H Wolfe; D C Shields
Journal:  Nature       Date:  1997-06-12       Impact factor: 49.962

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  5 in total

1.  Phylogeny of metabolic networks: a spectral graph theoretical approach.

Authors:  Krishanu Deyasi; Anirban Banerjee; Bony Deb
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2.  Connectome Smoothing via Low-Rank Approximations.

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Journal:  IEEE Trans Med Imaging       Date:  2018-12-10       Impact factor: 10.048

3.  Spectral analysis of transient amplifiers for death-birth updating constructed from regular graphs.

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4.  The Laplacian spectrum of neural networks.

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Journal:  Front Comput Neurosci       Date:  2014-01-13       Impact factor: 2.380

5.  Superresolution modeling of calcium release in the heart.

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Journal:  Biophys J       Date:  2014-12-16       Impact factor: 4.033

  5 in total

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