Kang2017: Count matrices of 8 pooled lupus patient samples within two...
In huangyh09/DCATS: Differential Composition Analysis Transformed by a Similarity matrix
Kang2017 R Documentation
Count matrices of 8 pooled lupus patient samples within two conditions
Description
A data containing the count matrices, the similarity matrix and other
variables used to generate the similarity matrix
from single cell RNA sequencing data of 8 pooled lupus patient samples within
two conditions
Usage
Kang2017
Format
A list with 5 items:
- count_ctrl
the count matrix for three days after H.polygyrus infection
- count_stim
the count matrix for ten days after H.polygyrus infection
- svm_mat
the simularity 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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| Kang2017 | R Documentation |
Count matrices of 8 pooled lupus patient samples within two conditions
Description
A data containing the count matrices, the similarity matrix and other variables used to generate the similarity matrix from single cell RNA sequencing data of 8 pooled lupus patient samples within two conditions
Usage
Kang2017
Format
A list with 5 items:
- count_ctrl
the count matrix for three days after H.polygyrus infection
- count_stim
the count matrix for ten days after H.polygyrus infection
- svm_mat
the simularity 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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