Man pages for samychillara/ScRB
What the Package Does (One Line, Title Case)
| Background_sampling | sampling cells for reference data construction input-... |
| classify | Classify gene activity input- output of compute_pval,... |
| combine.subset | Combine data lists - each element is a matrix: genesXcells -... |
| Compare.GeneActivity | Identifying Unique genes sets (active/inactive/unknown) input... |
| compute_pval | compute p-val and q vals input- threshold list; query gene... |
| createThresholdDist | Generate threshold distributions per gene input- vector of... |
| cutoff.select | To select appropriate cutoff values for number of cells given... |
| DAG | Identifying differentially activated genes (DAG) input- list... |
| Data.gexp.stats | Gene expression level computed from raw data input- raw... |
| DataNorm | Data Normalisation using SCTransform input- raw data matrix -... |
| Data_prep1 | data prep: removing genes with no expression, removing zero... |
| Data_prep2 | data prep: scaling with maximum gene expression, removing... |
| Discretise_data | computing q values and discretising query data |
| gene.activity.summary | Summary of discretised data: information for every gene, list... |
| GetThreshDist | Computing threshold distributions |
| LogNorm | data normalisation by log transformation input- raw data... |
| PrepQueryData | Normalising, Scaling query data |
| PrepRefData | Sampling, scaling and removing outliers |
| read.genelist | Read a file such that each column is a list of genes... |
| scaleMaxGexp | Scaling gene expression data with given scaling factors... |
| scrb_norm | Data Normalisation by ScTransform |
| Split.Data | Split given data by given split parameter, return query or... |
| write.genelist | Read a file such that each column is a list of genes... |
