simulation: Simulation dataset
In ymatts/phyC: Clustering cancer evolutional trees
Description
Format
Variables
Author(s)
References
Description
Simulation dataset based on BEP simulator (Niida, et al. 2015). The simulation mimics the cancer sub-clonal evolution using cellular automaton. We generated two types of cancer, that is, high and low heterogeneity.
Format
A list of 60 VAF matrices
Variables
Variables:
normal The VAF of the normal cells.
Other columns Each column indicates the VAF of each region
Author(s)
Yusuke Matsui & Teppei Shimamura
References
Niida,A. et al. (2015) Cancer evolution simulation identifies possible principles underlying intratumor heterogeneity. bioRxiv, 022806.
ymatts/phyC documentation built on May 4, 2019, 5:31 p.m.
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Description Format Variables Author(s) References
Description
Simulation dataset based on BEP simulator (Niida, et al. 2015). The simulation mimics the cancer sub-clonal evolution using cellular automaton. We generated two types of cancer, that is, high and low heterogeneity.
Format
A list of 60 VAF matrices
Variables
Variables:
normal The VAF of the normal cells.
Other columns Each column indicates the VAF of each region
Author(s)
Yusuke Matsui & Teppei Shimamura
References
Niida,A. et al. (2015) Cancer evolution simulation identifies possible principles underlying intratumor heterogeneity. bioRxiv, 022806.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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