two_batch_matrix_label_df: Clustering labels for simulated two-batch single-cell count...
In jichunxie/CDI: Clustering Deviation Index (CDI)
two_batch_matrix_label_df R Documentation
Clustering labels for simulated two-batch single-cell count matrix
Description
his is the label sets correspond to the cells in the two_batch_matrix.
Cells in two batches of the two_batch_matrix was first integrated by Seurat v4.
The dataset after integration was then clustered by K-Means on first 200 PCs
and Seurat with 2000 (default) feature genes.
The number of clusters are set to be 2,3,..., 10.
The code simulating this vector can be found in data-raw/two_batch_simulation.R.
Usage
data(two_batch_matrix_label_df)
Format
A data frame of 2,000 rows and 18 columns. Each row represents a cell.
Each column represents a clustering method and the corresponding
number of clusters.
jichunxie/CDI documentation built on Dec. 6, 2023, 5:48 a.m.
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| two_batch_matrix_label_df | R Documentation |
Clustering labels for simulated two-batch single-cell count matrix
Description
his is the label sets correspond to the cells in the two_batch_matrix. Cells in two batches of the two_batch_matrix was first integrated by Seurat v4. The dataset after integration was then clustered by K-Means on first 200 PCs and Seurat with 2000 (default) feature genes. The number of clusters are set to be 2,3,..., 10. The code simulating this vector can be found in data-raw/two_batch_simulation.R.
Usage
data(two_batch_matrix_label_df)
Format
A data frame of 2,000 rows and 18 columns. Each row represents a cell. Each column represents a clustering method and the corresponding number of clusters.
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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