beefedUpKNN: fSVA and k-Nearest Neighbor classifier

In MalteThodberg/BEEF: Batch Effect Estimation with fSVA (Frozen Surrogate Variable Analysis)

Description

Couples together fSVA with Nearest Shrunken Centroid classifier.

Usage

beefedUpKNN(x, y, n.sv, k, ...)

Arguments

x	matrix: Normalized and log-transformed expression values (samples in rows, features in columns).
y	factor: Class labels.
n.sv	integer: Number of surrogate variables to estimate.
k	integer: Number of nearest neighbors casting votes.
...	additional arguments passed to smartsva.

Value

beefedUpKNN object.

Examples

# ADD_EXAMPLES_HERE

MalteThodberg/BEEF documentation built on May 7, 2019, 2:09 p.m.