Description Usage Arguments Details Value Examples
Filter and return a SummarizedExperiment object (dataset_se) by several metrics:
Cells with at least min_lib_size total reads.
Genes expressed in at least min_detected_by_min_samples cells, at a threshold of min_reads_in_sample per cell.
Remove entire groups (clusters) of cells where there are fewer than min_group_membership cells in that group.
1 2 3 | trim_small_groups_and_low_expression_genes(dataset_se,
min_lib_size = 1000, min_group_membership = 5,
min_reads_in_sample = 1, min_detected_by_min_samples = 5)
|
dataset_se |
Summarised experiment object containing count data. Also
requires 'ID' and 'group' to be set within the cell information
(see |
min_lib_size |
Minimum library size. Cells with fewer than this many reads removed. Default = 1000 |
min_group_membership |
Throw out groups/clusters with fewer than this many cells. May change with experiment size. Default = 5 |
min_reads_in_sample |
Require this many reads to consider a gene detected in a sample. Default = 1 |
min_detected_by_min_samples |
Keep genes detected in this many samples. May change with experiment size. Default = 5 |
If it hasn't been done already, it is highly reccomended to use this function to filter out genes with no/low total counts (especially in single cell data, there can be many) - without expression they are not useful and may reduce statistical power.
Likewise, very small groups (<5 cells) are unlikely to give useful results with this method. And cells with abnormally small library sizes may not be desireable.
Of course 'reasonable' thresholds for filtering cells/genes are subjective. Defaults are moderately sensible starting points.
A filtered dataset_se, ready for use.
1 2 3 4 5 | demo_query_se.trimmed <-
trim_small_groups_and_low_expression_genes(demo_query_se)
demo_query_se.trimmed2 <-
trim_small_groups_and_low_expression_genes(demo_ref_se,
min_group_membership = 10)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.