Description Usage Arguments Details Value References Examples
View source: R/bp.sim.manipulated.R
Creates manipulated samples based on the control samples for simulations involving Beta-Poisson (BP) models
1 | bp.sim.manipulated(Res.par,N2,case,degree,seedex)
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Res.par |
matrix including the fitted parameters for the well-fitted control instances that are to be manipulated (e.g. the output matrix parameters.bp.wellfit from the |
N2 |
size of the samples drawn from the manipulated BP models |
case |
case corresponding to a specific parameter manipulation in the BP model; specifically, case can be one of "DLambda", "DAlpha", "DBeta", "DAlphaBeta" or "DPZ" following the design and the respective descriptive table in Schefzik (2021) |
degree |
parameter to set the degree of the created difference (low to strong), see Schefzik (2021) for details and the choice of a range of possible values |
seedex |
seed used for sampling from the fitted BP models to ensure reproducibility |
Creates manipulated samples based on the control samples for simulations involving BP models. Details regarding the design of the manipulations can be found in Schefzik (2021).
matrix with simulated manipulated single-cell RNA-sequencing expression data of dimension KxN2, where K is the number of well-fitted genes by the BP models for which the desired manipulation is feasible, see Schefzik (2021) for details
R. Schefzik (2021). SimBPDD: Simulating differential distributions in Beta-Poisson models, in particular for single-cell RNA-sequencing data. Annales Mathematicae et Informaticae, 53:283-298. Available at https://ami.uni-eszterhazy.hu/uploads/papers/finalpdf/AMI_53_from283to298.pdf
1 2 3 4 5 6 7 8 9 10 | N1<-500
seedex<-24
ctrl<-bp.sim.control(DATA.EX,N1,seedex)
N2<-500
degree<-1/3
man1<-bp.sim.manipulated(ctrl[[2]],N2,case="DLambda",degree,seedex)
man2<-bp.sim.manipulated(ctrl[[2]],N2,case="DAlpha",degree,seedex)
man3<-bp.sim.manipulated(ctrl[[2]],N2,case="DBeta",degree,seedex)
man4<-bp.sim.manipulated(ctrl[[2]],N2,case="DAlphaBeta",degree,seedex)
man5<-bp.sim.manipulated(ctrl[[2]],N2,case="DPZ",degree,seedex)
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