Name
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/s12064-007-0005-9 | Theory in Biosciences |
Keywords | Field | DocType |
Biological network,Laplacian spectrum,Graph spectrum,Spectral plot,Metabolic
network,Transcription network,Protein–protein interaction network,Neuronal
network,Foodweb | Protein protein interaction network,Biological data,Laplacian matrix,Normalization (statistics),Biology,Biological network,Metabolic network,Theoretical computer science,Bioinformatics,Artificial neural network,Genetics,Computer graphics | Journal |
Volume | Issue | ISSN |
126 | 1 | 1611-7530 |
Citations | PageRank | References |
9 | 1.62 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anirban Banerjee | 1 | 75 | 11.29 |
| Jürgen Jost | 2 | 50 | 9.30 |