
Gene sets with weights trained from the PBMC 3k dataset
hitypedb_pbmc3k.RdMarker gene sets for the 9 cell types of the Seurat PBMC 3k tutorial
(Naive CD4+ T, CD14+ Mono, Memory CD4+, B,
CD8+ T, FCGR3A+ Mono, NK, DC and
Platelet), with weights trained on the dataset itself. It is
intended for demonstration: pass it to gs_prepare like any
other marker data frame (e.g. gs_prepare(hitypedb_pbmc3k)).
Format
A data frame in the marker database format used by
gs_prepare: cellName, geneSymbolmore1,
geneSymbolmore2 and level, where geneSymbolmore1
carries +/- suffixes encoding the trained weights.
Source
Trained with train_weights on the PBMC 3k dataset
(Seurat guided-clustering tutorial, resolution 0.5).