query_predict: Fine-tuning and predict for the query data

In xiaoyingshi/SELINAr: 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(query_expr, model, path_out, outprefix, disease, mode)

Arguments

query_expr	File path of the query data matrix
model	File path of 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'.
mode	Single-cell level input or cluster level input, choose from 'single' or 'cluster'. DEFAULT: 'single'.

Value

Prediction results and corresponding probability for each query cell.

xiaoyingshi/SELINAr documentation built on May 14, 2022, 12:14 a.m.