features: features
In grisslab/scClassifR: Pretrained learning models for cell type prediction on single cell RNA-sequencing data
Description
Usage
Arguments
Value
Examples
Description
Returns the set of features for the given classifier.
Usage
1
features(classifier)
Arguments
classifier
scClassifR object
Value
Applied features of object
Examples
1
2
3
4
5
6
data("tirosh_mel80_example")
selected_features_B = c("CD19", "MS4A1", "CD79A")
set.seed(123)
clf_b <- train_classifier(train_obj = tirosh_mel80_example,
features = selected_features_B, cell_type = "B cells")
features(clf_b)
grisslab/scClassifR documentation built on Oct. 27, 2021, 12:13 p.m.
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Description Usage Arguments Value Examples
Description
Returns the set of features for the given classifier.
Usage
1 | features(classifier)
|
Arguments
classifier |
scClassifR object |
Value
Applied features of object
Examples
1 2 3 4 5 6 | data("tirosh_mel80_example")
selected_features_B = c("CD19", "MS4A1", "CD79A")
set.seed(123)
clf_b <- train_classifier(train_obj = tirosh_mel80_example,
features = selected_features_B, cell_type = "B cells")
features(clf_b)
|
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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