Solving the influence maximization problem reveals regulatory organization of the yeast cell cycle

Article, Preprint English OPEN
Gibbs, David L.; Shmulevich, Ilya;
(2017)
  • Publisher: Public Library of Science
  • Journal: PLoS Computational Biology,volume 13,issue 6 (issn: 1553-734X, eissn: 1553-7358)
  • Publisher copyright policies & self-archiving
  • Related identifiers: pmc: PMC5495484, doi: 10.1101/075069, doi: 10.1371/journal.pcbi.1005591
  • Subject: Research Article | Mathematics | Thermodynamics | Gene Identification and Analysis | Cell Processes | Regulator Genes | Genetics | Physical Sciences | Entropy | Centrality | Optimization | Physics | Biology and Life Sciences | bepress|Life Sciences|Bioinformatics | Computer and Information Sciences | Genetic Networks | QH301-705.5 | bepress|Life Sciences|Biology | Cell Biology | Gene Regulation | Gene Types | Biochemistry | Pheromones | Network Analysis | Biology (General) | Gene Expression | Cell Cycle and Cell Division

The Influence Maximization Problem (IMP) aims to discover the set of nodes with the greatest influence on network dynamics. The problem has previously been applied in epidemiology and social network analysis. Here, we demonstrate the application to cell cycle regulatory... View more
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