Learn: Train SciBet model and generate a "Bet" function for cell...
In PaulingLiu/scibet: SciBet(Single-Cell Identifier Based on Entropy Test)
Description
Usage
Arguments
Value
Description
Train SciBet model and generate a "Bet" function for cell type prediction.
Usage
1
Learn(expr, geneset, k=1000, a=5)
Arguments
expr
The reference expression dataframeThe expression dataframe, with rows being cells, and columns being genes. The last column should be "label".
geneset
A user-defined set of genes for prediction.
k
See [SelectGene()] for details.
a
For each cell type, select a genes by perform E-test in the one-vs-rest manner. If users set a>0, the param k will be neglected.
Value
A function that takes two inputs: 'expr' and 'result'. See [Bet()] for details.
PaulingLiu/scibet documentation built on April 17, 2021, 7:33 a.m.
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Description Usage Arguments Value
Description
Train SciBet model and generate a "Bet" function for cell type prediction.
Usage
1 | Learn(expr, geneset, k=1000, a=5)
|
Arguments
expr |
The reference expression dataframeThe expression dataframe, with rows being cells, and columns being genes. The last column should be "label". |
geneset |
A user-defined set of genes for prediction. |
k |
See [SelectGene()] for details. |
a |
For each cell type, select a genes by perform E-test in the one-vs-rest manner. If users set a>0, the param k will be neglected. |
Value
A function that takes two inputs: 'expr' and 'result'. See [Bet()] for details.
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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