Modeling Interactome: Scale-Free or Geometric?
| dc.creator | Przulj, Natasa | |
| dc.creator | Corneil, Derek G. | |
| dc.creator | Jurisica, Igor | |
| dc.date | 2004-04-17 | |
| dc.date.accessioned | 2026-07-07T05:58:22Z | |
| dc.date.available | 2026-07-07T05:58:22Z | |
| dc.description | Networks have been used to model many real-world phenomena to better understand the phenomena and to guide experiments in order to predict their behavior. Since incorrect models lead to incorrect predictions, it is vital to have a correct model. As a result, new techniques and models for analyzing and modeling real-world networks have recently been introduced. One example of large and complex networks involves protein-protein interaction (PPI) networks. We demonstrate that the currently popular scale-free model of PPI networks fails to fit the data in several respects. We show that a random geometric model provides a much more accurate model of the PPI data. | |
| dc.description | 53 pages, 18 figures, 5 tables | |
| dc.identifier | https://arxiv.org/abs/q-bio/0404017 | |
| dc.identifier | http://arxiv.org/abs/q-bio/0404017 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/88330 | |
| dc.subject | Molecular Networks | |
| dc.title | Modeling Interactome: Scale-Free or Geometric? | |
| dc.type | text |