Haber2017: Count matrices of intestinal epithelial scRNA-seq data from...
In huangyh09/DCATS: Differential Composition Analysis Transformed by a Similarity matrix
Haber2017 R Documentation
Count matrices of intestinal epithelial scRNA-seq data from three conditions
Description
A data containing the count matrices, the similarity matrix and other
variables used to generate the similarity matrix
from intestinal epithelial single cell RNA sequencing data with
three condition
Usage
Haber2017
Format
A list with 7 items:
- count_ctrl
the count matrix for the control group
- count_Hpoly3
the count matrix for three days after H.polygyrus infection
- count_Hpoly10
the count matrix for ten days after H.polygyrus infection
- count_Salma
the count matrix for two days after Salmonella infection
- svm_mat
the similarity matrix
- svmDF
the data frame used to calculate the similarity matrix
- source
the source of this dataset
Source
huangyh09/DCATS documentation built on Nov. 25, 2022, 7:02 a.m.
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| Haber2017 | R Documentation |
Count matrices of intestinal epithelial scRNA-seq data from three conditions
Description
A data containing the count matrices, the similarity matrix and other variables used to generate the similarity matrix from intestinal epithelial single cell RNA sequencing data with three condition
Usage
Haber2017
Format
A list with 7 items:
- count_ctrl
the count matrix for the control group
- count_Hpoly3
the count matrix for three days after H.polygyrus infection
- count_Hpoly10
the count matrix for ten days after H.polygyrus infection
- count_Salma
the count matrix for two days after Salmonella infection
- svm_mat
the similarity matrix
- svmDF
the data frame used to calculate the similarity matrix
- source
the source of this dataset
Source
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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