dot-scClassifyTrainModel: The scClassifyTrainModel class
In SydneyBioX/scClassify: scClassify: single-cell Hierarchical Classification

The scClassifyTrainModel class is designed to stored training model for scClassify

.scClassifyTrainModel(
  name,
  cellTypeTree,
  cellTypeTrain,
  features,
  model,
  modelweights,
  metaData
)

`name`	Name of the training dataset
`cellTypeTree`	A list indicate a cell type tree
`cellTypeTrain`	A vector of cell type in training dataset
`features`	A vector of character indicates the features that are trained for this data
`model`	A list stored the training model, including the features that are selected and the cell expression matrix that are used for training
`modelweights`	A vector of numeric indicates the weights of each model
`metaData`	A DataFrame stored meta data of training model