rank_genes_groups
Identify and rank differentially expressed genes across groups for single-cell RNA sequencing analysis, enabling targeted insights into gene expression patterns and group characterization.
Instructions
Rank genes for characterizing groups, perform differentially expressison analysis
Input Schema
Name | Required | Description | Default |
---|---|---|---|
corr_method | No | p-value correction method. Used only for 't-test', 't-test_overestim_var', and 'wilcoxon'. | benjamini-hochberg |
groupby | Yes | The key of the observations grouping to consider. | |
groups | No | Subset of groups to which comparison shall be restricted, or 'all' for all groups. | all |
key_added | No | The key in adata.uns information is saved to. | |
layer | No | Key from adata.layers whose value will be used to perform tests on. | |
mask_var | No | Select subset of genes to use in statistical tests. | |
method | No | Method for differential expression analysis. Default is 't-test'. | |
n_genes | No | The number of genes that appear in the returned tables. Defaults to all genes. | |
pts | No | Compute the fraction of cells expressing the genes. | |
rankby_abs | No | Rank genes by the absolute value of the score, not by the score. | |
reference | No | If 'rest', compare each group to the union of the rest of the group. If a group identifier, compare with respect to this group. | rest |
tie_correct | No | Use tie correction for 'wilcoxon' scores. Used only for 'wilcoxon'. | |
use_raw | No | Use raw attribute of adata if present. |