| estimateDEPerCellTypeInner | R Documentation | 
Differential expression using different methods (DESeq2, edgeR, wilcoxon, ttest) with various covariates
estimateDEPerCellTypeInner(
  raw.mats,
  cell.groups = NULL,
  s.groups = NULL,
  ref.level = NULL,
  target.level = NULL,
  common.genes = FALSE,
  cooks.cutoff = FALSE,
  min.cell.count = 10,
  max.cell.count = Inf,
  independent.filtering = TRUE,
  n.cores = 4,
  return.matrix = TRUE,
  fix.n.samples = NULL,
  verbose = TRUE,
  test = "Wald",
  meta.info = NULL,
  gene.filter = NULL
)
| raw.mats | list of counts matrices; column for gene and row for cell | 
| cell.groups | factor specifying cell types (default=NULL) | 
| s.groups | list of two character vector specifying the app groups to compare (default=NULL) | 
| ref.level | reference level in 'sample.groups', e.g., ctrl, healthy, wt (default=NULL) | 
| target.level | target level in 'sample.groups' (default=NULL) | 
| common.genes | boolean Only investigate common genes across cell groups (default=FALSE) | 
| cooks.cutoff | boolean cooksCutoff for DESeq2 (default=FALSE) | 
| min.cell.count | numeric Minimum cell count (default=10) | 
| max.cell.count | numeric Maximum cell count (default=Inf). If Inf, there is no limit set. | 
| independent.filtering | boolean independentFiltering for DESeq2 (default=FALSE) | 
| n.cores | numeric Number of cores (default=1) | 
| return.matrix | Return merged matrix of results (default=TRUE) | 
| fix.n.samples | Number of samples to fix (default=NULL). If greater the the length of the s.groups, an error is thrown. | 
| verbose | boolean Whether to output verbose messages (default=TRUE) | 
| test | DE method: DESeq2, edgeR, wilcoxon, ttest | 
| meta.info | dataframe with possible covariates; for example, sex or age | 
| gene.filter | matrix/boolean Genes to omit (rows) per cluster (cols) (default=NULL) | 
differential expression for each cell type
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