filter_genes: Filter lowly abundant genes.
In BANDITS: BANDITS: Bayesian ANalysis of DIfferenTial Splicing

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.

1	filter_genes(BANDITS_data, min_counts_per_gene = 10)

`BANDITS_data`	a 'BANDITS_data' object, created with the `create_data` function.
`min_counts_per_gene`	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.

A BANDITS_data object.

Simone Tiberi simone.tiberi@uzh.ch

filter_transcripts, create_data, BANDITS_data

# 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)