Description Usage Arguments Details Value Author(s) See Also Examples
filter_genes filters genes, according to the overall number of counts (across all samples) compatible with the gene.
The filtering also applies to groups of genes with reads/fragments compatible with >1 gene;
in this case, the number of counts considered is across all genes in the group.
filter_genes(BANDITS_data, min_counts_per_gene = 10)
a 'BANDITS_data' object, created with the
the minimum number of counts compatible with a gene (across all samples).
The function inputs a 'BANDITS_data' object, and returns again a 'BANDITS_data' object after filtering genes and groups of genes.
Simone Tiberi email@example.com
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# load the pre-computed data: data("input_data", package = "BANDITS") input_data # Filter lowly abundant genes: input_data = filter_genes(input_data, min_counts_per_gene = 20)
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