Description Usage Arguments Value
This function uses the predictive model to estimate a progenitor scores for the input samples, which can be used to determine whether the samples (cells) are progenitors or neurons.
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input |
The input expression matrix, with rows representing genes and columns representing samples (cells) |
nameMap |
A matrix/data.frame showing the gene name mappings. It is expected to be of multiple columns, one of which is for gene symbols. |
model |
The model used for progenitor scores estimation. It is expected to be a list with at least two components: 'gene' for the list of genes to be ranked; 'coefficients' for the model coefficients. When it is NULL, the default model is used. |
forceRetrain |
When it is TRUE, the model will be rebuilt by only considering genes involved in the input matrix. |
returnModel |
Whether to return the retrained model for progenitor score estimation. |
verbose |
Whether to output the progress information. |
... |
Other arguments passed to the 'retrainProgenitorModel' function. |
A list with two components: 'scores' for the estimated progenitor scores; 'model' for the model predicting the scores (NULL when returnModel is FALSE).
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