Vector normalisation

The samples in the data matrix are normalised to account for differences in concentration by scaling each sample such that the sum of squares is equal to 1.

Usage

vec_norm(...)

Arguments

...

Additional slots and values passed to struct_class.

Value

A vec_norm object with the following output slots:

normalised	(DatasetExperiment) A DatasetExperiment object containing the normalised data.
coeff	(data.frame) The normalisation coefficients calculated by PQN.

struct object

Inheritance

A vec_norm object inherits the following struct classes:

[vec_norm] >> [model] >> [struct_class]

Examples

M = vec_norm()

M = vec_norm()