zinb_toy: example zinb object after fitting a toy dataset with 5 cells...
In quon-titative-biology/bfa: 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
quon-titative-biology/bfa documentation built on March 18, 2020, 11:53 a.m.
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.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.