Inferring Network Mechanisms: The Drosophila melanogaster Protein Interaction Network

Details Inferring Network Mechanisms: The Drosophila melanogaster Protein Interaction Network Inferring Network Mechanisms: The Drosophila melanogaster Protein Interaction Network

2004-08-15

arxiv.org/abs/q-bio/0408010v1

PNAS, Vol. 102, No. 9, pp. 3192-3197 (March 1, 2005)

Biology

Quantitative Biology

Quantitative Methods

19 pages, 5 figures

Scientific paper

10.1073/pnas.0409515102

Naturally occurring networks exhibit quantitative features revealing underlying growth mechanisms. Numerous network mechanisms have recently been proposed to reproduce specific properties such as degree distributions or clustering coefficients. We present a method for inferring the mechanism most accurately capturing a given network topology, exploiting discriminative tools from machine learning. The Drosophila melanogaster protein network is confidently and robustly (to noise and training data subsampling) classified as a duplication-mutation-complementation network over preferential attachment, small-world, and other duplication-mutation mechanisms. Systematic classification, rather than statistical study of specific properties, provides a discriminative approach to understand the design of complex networks.

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