Function reference • sc2marker

All functions
`Detect_single_marker()`	Detect single markers of specific cell groups
`Detect_single_marker_all()`	Detect single markers of all cell groups
`firstup()`	Firstup character
`generate_report()`	generate html report for single markers of all cell groups
`generate_report_rmd()`	generate html report for single markers of all cell groups
`get_antibody()`	Get Antibody information table
`get_gene_score()`	Calculate gene specific score in both direction
`get_gene_score_neg()`	Calculate gene negative specific score
`get_gene_score_neg.fbeta()`	Calculate gene positive specific score with FBeta (Hypergate like approach)
`get_gene_score_pos()`	Calculate gene positive specific score
`get_gene_score_pos.fbeta()`	Calculate gene positive specific score with FBeta (Hypergate like approach)
`get_original_alpha()`	Calculate gene negative specific score
`get_split_pos_pos()`	UmapPlot based on results from Markers Greedy Search
`intersect.ignorecase()`	Intersect 2 list ignoring the cases and return the elements in list1
`makeid()`	make id for plotting
`normalize()`	Min-Max Normalization
`plot_filter_stepbystep_first2()`	Detect greedy step by step filters for cell group identification
`plot_ridge()`	RidgePlot of selected genes, with split value

Reference