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Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq and Spatial Transcriptomics (ST)).
This script utilizes Monocle3 for inferring pseudotime and employs gradient boosting machine learning (xgboost) to identify genes predictive of pseudotime. Subsequently, it fits a regression model using these newly identified genes.