filterData: Filter datasets according to no. features present in features...

In HCBravoLab/metagenomeSeq: Statistical analysis for sparse high-throughput sequencing

Filter datasets according to no. features present in features with at least a certain depth.

Description

Filter the data based on the number of present features after filtering samples by depth of coverage. There are many ways to filter the object, this is just one way.

Usage

filterData(obj, present = 1, depth = 1000)

Arguments

obj	A MRexperiment object or count matrix.
present	Features with at least 'present' postive samples.
depth	Sampls with at least this much depth of coverage

Value

A MRexperiment object.

Examples

data(mouseData)
filterData(mouseData)

HCBravoLab/metagenomeSeq documentation built on March 17, 2024, 3:21 p.m.