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 (required)
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. https://github.com/FertigLab/CancerInSilico
Step 1: Use the attribute tree to add new attributes or remove pre-selected attributes to describe the simulator.
Every sub-attribute is selected Not all sub-attributes are selectedFill Clear Expand Collapse Reset
Summary of Proposed Changes Step 2: Review list of proposed attribute addition(s) and subtraction(s).
Can't Find the Attribute You Are Looking For? If you would like to propose an attribute that you cannot find in the tree above, or if you would like to add a clarification to one or more attributes for this simulator (e.g. a specific file format for attribute /Output/File Format/Other), please list them in the Additional Comment box of the Submit tab .
Summary of Proposed Changes Current Citations/Applications 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 ,
04-19-2019 ,
Primary Citation
[Pubmed ID: 31002670 ],
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 ,
04-19-2019 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=31002670, Primary Citation