Revealing missing parts of the interactome via link prediction

Protein interaction networks (PINs) are often used to "learn" new biological function from their topology. Since current PINs are noisy, their computational de-noising via link prediction (LP) could improve the learning accuracy. LP uses the existing PIN topology to predict missing and spu...

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Veröffentlicht in:	PloS one 2014-03, Vol.9 (3), p.e90073-e90073
Hauptverfasser:	Hulovatyy, Yuriy, Solava, Ryan W, Milenković, Tijana
Format:	Artikel
Sprache:	eng
Schlagworte:	Biology Computation Computer applications Computer Science Engineering Mathematics Network topologies Nodes Noise Noise measurement Predictions Protein Interaction Mapping Protein Interaction Maps Saccharomyces cerevisiae - metabolism Saccharomyces cerevisiae Proteins - metabolism Social networks Social organization Topology
Online-Zugang:	Volltext
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