query_predict: Fine-tuning and predict for the query data

In SELINA-team/SELINA.R: Single-cell Assignment using Multiple-Adversarial Domain Adaptation Network with Large-scale References

Fine-tuning and predict for the query data

Description

Fine-tuning and predict for the query data

Usage

query_predict(
  queryObj,
  model,
  path_out,
  outprefix = "query",
  disease = FALSE,
  prob_cutoff = 0.9
)

Arguments

queryObj	Seurat object for query data.
model	The pre-trained model.
path_out	File path of the output files.
outprefix	Prefix of the output files. DEFAULT: query.
disease	Depend on your data is in some disease condition or not, choose from 'TRUE' or 'FALSE'. DEFAULT: 'FALSE'.
prob_cutoff	Cutoff for prediction probability. DEFAULT: 0.9.

Value

A list which includes prediction results and corresponding probability for query data.

SELINA-team/SELINA.R documentation built on Sept. 17, 2022, 8:45 a.m.