Browse code

3.99.2

ramon diaz-uriarte (at Phelsuma) authored on 29/06/2022 12:44:37
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 Package: OncoSimulR
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 Type: Package
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 Title: Forward Genetic Simulation of Cancer Progression with Epistasis 
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-Version: 3.99.1
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-Date: 2022-06-25
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+Version: 3.99.2
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+Date: 2022-06-29
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 Authors@R: c(
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 	      person("Ramon", "Diaz-Uriarte", role = c("aut", "cre"),	
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  	   		     email = "rdiaz02@gmail.com"),
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+Changes in version 3.99.2 (2022-06-29):
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+	- Vignette: author list and references.
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+
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 Changes in version 3.99.1 (2022-06-25):
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 	- Users can specify birth and death rates as they want, including
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 	  making both or just one frequency-dependent (thanks to Alberto
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 title: "OncoSimulR: forward genetic simulation in asexual populations with arbitrary epistatic interactions and a focus on modeling tumor progression."
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 author: "
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-         Ramon Diaz-Uriarte, Sergio Sanchez-Carrillo, Juan Antonio Miguel-Gonzalez\\
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+         Ramon Diaz-Uriarte, Sergio Sanchez-Carrillo, Juan Antonio Miguel-Gonzalez, Javier López Cano, Alberto González Klein, Javier Muñoz Haro\\
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          Dept. Biochemistry, Universidad Autónoma de Madrid, Instituto de
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          Investigaciones Biomédicas 'Alberto Sols' (UAM-CSIC), Madrid,
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@@ -136,7 +136,7 @@ genotypes, as in game theory and adaptive dynamics. This makes it
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 possible to model predation and parasitism, cooperation and
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 mutualism, and commensalism. It also allows to model therapeutic
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 interventions (where fitness changes at specified time points or as
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-a function of the total populations size or as a function of arbitrary user-defined variables); in particular, it is possible to emulate adaptive therapy.
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+a function of the total populations size or as a function of arbitrary user-defined variables); in particular, it is possible to emulate adaptive therapy (@hansen2020a; @hansen2020b).
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 Simulations can start from arbitrary initial population compositions
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 and it is also possible to simulate multiple species. Thus, simulations
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+@article{hansen2020a,
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+  title = {Modifying {{Adaptive Therapy}} to {{Enhance Competitive Suppression}}},
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+  author = {Hansen, Elsa and Read, Andrew F.},
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+  year = {2020},
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+  journal = {Cancers},
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+  volume = {12},
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+  number = {12},
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+  pages = {3556},
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+  publisher = {{Multidisciplinary Digital Publishing Institute}},
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+  doi = {10.3390/cancers12123556},
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+  url = {https://www.mdpi.com/2072-6694/12/12/3556},
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+}
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+
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 @article{hansen2020b,
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   title = {Cancer Therapy: {{Attempt}} Cure or Manage Drug Resistance?},
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   shorttitle = {Cancer Therapy},
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   url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/eva.12994},
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 }
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-@article{hansen2020a,
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-  title = {Modifying {{Adaptive Therapy}} to {{Enhance Competitive Suppression}}},
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-  author = {Hansen, Elsa and Read, Andrew F.},
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-  year = {2020},
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-  month = {dec},
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-  journal = {Cancers},
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-  volume = {12},
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-  number = {12},
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-  pages = {3556},
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-  publisher = {{Multidisciplinary Digital Publishing Institute}},
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-  doi = {10.3390/cancers12123556},
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-  url = {https://www.mdpi.com/2072-6694/12/12/3556},
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-}
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-
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 @article{Yuan2012,
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   title = {An {{Overview}} of {{Population Genetic Data Simulation}}},