View source: R/prepareInputs.R
getReferenceProfileRNA | R Documentation |
Prepares Seurat objects for Compositional Profiling
getReferenceProfileRNA( data, meta.data, name, sample_id = NULL, batch = NULL, secondary_batch = NULL, subset_profiledata = NULL, DEfield = NULL, DEparams = c("DESeq2", "parametric", FALSE, "Wald", "None", "Silhouette", "auto", "Log2FC+Padj", 1, 0.05, ""), max_count = 10 )
data |
profiling data |
meta.data |
profiling metadata |
name |
name of the Bulk Reference |
sample_id |
the field in the metadata that identifies a sample/biosample, if null, the first field will be the sample_id |
batch |
the batch term from the meta.data |
secondary_batch |
specify is there exists a secondary batch within the primary batch, e.g. Patient, or Donor |
subset_profiledata |
a list of subsets based on meta.data fields, the names of each element should correspond to a field in the meta.data |
DEfield |
the meta.data field to indicate a comparison, this should be a list with one element that this element should be a vector of two characters indicating the conditions |
DEparams |
DE Analysis and Computational Profiling parameters |
max_count |
remove genes whose maximum count is below a small count (e.g. 10) |
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