GSR: Simulator - CancerInSilico

Basic Package Attributes
Attribute	Value
Title	CancerInSilico
Short Description	The CancerInSilico package provides an R interface for running mathematical models of tumor progresson. This package has the underlying models implemented in C++ and the output and analysis features implemented in R.
Long Description	The CancerInSilico package provides an R interface for running mathematical models of tumor progresson. This package has the underlying models implemented in C++ and the output and analysis features implemented in R.
Version	2.5.0
Homepage	https://github.com/FertigLab/CancerInSilico
Citations	Thomas D. Sherman ,Luciane T. Kagohara,Raymon Cao,Raymond Cheng,Matthew Satriano,Michael Considine,Gabriel Krigsfeld,Ruchira Ranaweera,Yong Tang,Sandra A. Jablonski,Genevieve Stein-O'Brien,Daria A. Gaykalova,Louis M. Weiner,Christine H. Chung,Elana J. Fertig, CancerInSilico: An R/Bioconductor package for combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancer, Plos Computational Biology, April 19, 2019 [ Sherman TD, Kagohara LT, Cao R, Cheng R, Satriano M, Considine M, Krigsfeld G, Ranaweera R, Tang Y, Jablonski SA, et al., CancerInSilico: An R/Bioconductor package for combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancer., PLoS Comput Biol, April 19, 2019 [ Abstract , cited in PMC ]
GSR Certification	✔ Accessibility ✔ Documentation Application ✔ Support
Last evaluated	Feb. 14, 2022 (1308 days ago)
Author verification	The basic description provided was derived from a website or publications by the GSR team and has not yet been verified by the simulation author. To modify this entry or add more information, propose changes to this simulator.

Detailed Attributes
Attribute Category	Attribute
Target
Type of Simulated Data
Variations
Simulation Method
Input
Data Type
File format
Output
Data Type
Sequencing Reads
File Format
Sample Type
Phenotype
Trait Type
Determinants
Evolutionary Features
Demographic
Population Size Changes
Gene Flow
Spatiality
Life Cycle
Mating System
Fecundity
Natural Selection
Determinant
Models
Recombination
Mutation Models
Events Allowed
Other
Interface	Command-line,
Development
Tested Platforms
Language	C or C++, R,
License
GSR Certification	Accessibility, Documentation, Support,

Number of Primary Citations: 2

Number of Non-Primary Citations: 0

No example publication using CancerInSilico has been provided.

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