quick_prediction: quick_prediction
In hemberg-lab/sctransfermap: sctransfermap for predicting cell type in single-cell data (RNA-seq and ATAC-seq)
Description
Usage
Arguments
Value
Examples
Description
user-friendly quick prediction for single-cell data
side-information is cell ontology
Usage
1
quick_prediction(input_var, name, opt = "consensus")
Arguments
input_var
matrix class composed of gene/peak_location(row)-by-cell(column)
- same as result of importdata or convert_seurat
name
any name that user wants for the result
opt
prediction mode whether "consensus" or "logistic"
Value
a result of predicted cell types for each query cell cluster
Examples
1
2
3
4
result <- quick_prediction(matrix, "single-cell")
- prediction by consensus results of ZSL
result <- quick_prediction(matirx, "single-cell", opt = "logistic")
- prediction by logistic regression
hemberg-lab/sctransfermap documentation built on Nov. 11, 2019, 6:23 a.m.
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Description Usage Arguments Value Examples
Description
user-friendly quick prediction for single-cell data side-information is cell ontology
Usage
1 | quick_prediction(input_var, name, opt = "consensus")
|
Arguments
input_var |
matrix class composed of gene/peak_location(row)-by-cell(column) |
name |
any name that user wants for the result |
opt |
prediction mode whether "consensus" or "logistic" |
Value
a result of predicted cell types for each query cell cluster
Examples
1 2 3 4 | result <- quick_prediction(matrix, "single-cell")
- prediction by consensus results of ZSL
result <- quick_prediction(matirx, "single-cell", opt = "logistic")
- prediction by logistic regression
|
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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