Evolutionary Trade-Offs, Pareto Optimality, and the Geometry of Phenotype Space
By O. Shoval, H. Sheftel, G. Shinar, Y. Hart, O. Ramote, A. Mayo, E. Dekel, K. Kavanagh, Uri Alon. Science, 2012
658 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Genetics, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/17d4ba4bd5294e04948825fc81ee786b002c215f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Genetics
- Jonathan M. Monk
- Edward J. O'Brien
- P. D. Polly
- Xavier Pennec
- Bernhard O. Palsson
- G. Escarguel
- E. Dumont
- G. Merceron
In Sociology and Political Science
Citations in the corpus
- Energy acquisition and allocation to egg production in relation to fish reproductive strategies (2014, positive): “It may be, however, that the capital–income typology is simply too restrictive, such that this information should be integrated into a larger body of knowledge about allometric relationships, accessory activities and demographic models, or to consider more than two strategic end points (e.g. McCann ”
- A mechanistic link between cellular trade-offs, gene expression and growth (2015, positive): “The steady-state dynamics is confined to a Pareto-like surface [47, 48] (Fig.”
- Using Genome-Scale Models to Predict Biological Capabilities (2015, positive): “Rather than relating to missing reconstruction content (section 3), the discoveries from quantitative phenotype prediction often relate to broad, fundamental organismal constraints (Beg et al., 2007; Zhuang et al., 2011b) and evolutionary objectives and trade-offs (Shoval et al., 2012).”
- mvmorph: an r package for fitting multivariate evolutionary models to morphometric data (2015, background): “…2001; Step-pan, Phillips & Houle 2002) and has led to particular expectations over macroevolutionary times (e.g. Schluter 1996; Steppan 1997; Arnold, Pfrender & Jones 2001; Baker & Wil-kinson 2003; Polly 2004; Hohenlohe & Arnold 2008; Revell & Harmon 2008; Shoval et al. 2012; Goswami et al. 2014).”
- Barycentric subspace analysis on manifolds (2016, methodology): “In biology, Shoval et al. [2012] used archetype points in a similar way to characterize the geometry of the phenotype space using Pareto optimality.”
- Physical model of the genotype-to-phenotype map of proteins (2016, background): “This reduction between ‘genotype’ (sequence) and ‘phenotype’ (configuration, function) [31, 32] is the outcome of physical constraints on the mechanical transduction problem.”
- Combining Geometric Morphometrics and Finite Element Analysis with Evolutionary Modeling: Towards a Synthesis (2016, background): “Such a line or curve, known as the Pareto front, arises in any situation in which optimization is a trade-off between two contributing factors (Shoval et al., 2012).”