zinb_toy: example zinb object after fitting a toy dataset with 5 cells...
In scBFA: A dimensionality reduction tool using gene detection pattern to mitigate noisy expression profile of scRNA-seq
Description
The toy dataset is generated from the following code
require(zinbwave)
GeneExpr = matrix(rpois(50,1),nrow = 10,ncol = 5)
rownames(GeneExpr) = paste0("gene",seq_len(nrow(GeneExpr)))
colnames(GeneExpr) = paste0("cell",seq_len(ncol(GeneExpr)))
celltype = as.factor(sample(c(1,2,3),5,replace = TRUE))
zinb = zinbFit(Y = GeneExpr,K=2)
Usage
1
scBFA documentation built on Nov. 8, 2020, 5:24 p.m.
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Description
The toy dataset is generated from the following code require(zinbwave) GeneExpr = matrix(rpois(50,1),nrow = 10,ncol = 5) rownames(GeneExpr) = paste0("gene",seq_len(nrow(GeneExpr))) colnames(GeneExpr) = paste0("cell",seq_len(ncol(GeneExpr))) celltype = as.factor(sample(c(1,2,3),5,replace = TRUE)) zinb = zinbFit(Y = GeneExpr,K=2)
Usage
1 |
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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