ReClustering: Reclustering after removing sensitive genes
In Zechuan-Chen/scSensitiveGeneDefine: Define sensitive Gene in single cell data
Description
After removing the sensitive gene, reclusering the single-cell data.
Usage
1
ReClustering(object, PC = 40, resolution = 0.6, algorithm = 1)
Arguments
object:
Seurat object, with HVG_Statistic, GetSensitiveGene and ReSelectVariableFeatures finished
PC:
Number of PC used for demension reduction and clustering. default:40
resolution:
Choose appropriate resolution value to adjust the number of clusters. default:0.6
algorithm:
Algorithm for modularity optimization (1 = original Louvain algorithm; 2 = Louvain algorithm with multilevel refinement; 3 = SLM algorithm; 4 = Leiden algorithm). Leiden requires the leidenalg python.
Zechuan-Chen/scSensitiveGeneDefine documentation built on March 12, 2021, 8:02 p.m.
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Description
After removing the sensitive gene, reclusering the single-cell data.
Usage
1 | ReClustering(object, PC = 40, resolution = 0.6, algorithm = 1)
|
Arguments
object: |
Seurat object, with HVG_Statistic, GetSensitiveGene and ReSelectVariableFeatures finished |
PC: |
Number of PC used for demension reduction and clustering. default:40 |
resolution: |
Choose appropriate resolution value to adjust the number of clusters. default:0.6 |
algorithm: |
Algorithm for modularity optimization (1 = original Louvain algorithm; 2 = Louvain algorithm with multilevel refinement; 3 = SLM algorithm; 4 = Leiden algorithm). Leiden requires the leidenalg python. |
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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