print.rankEN

Arguments passed to dot-dot-dot are ignored


Displays the data dimensions used to fit the elastic net model


An implementation of the data processing and data analysis portion
of a pipeline named the PepSAVI-MS which is currently under development by
the Hicks laboratory at the University of North Carolina.  The statistical
analysis package presented herein provides a collection of software tools
used to facilitate the prioritization of putative bioactive peptides from a
complex biological matrix.  Tools are provided to deconvolute mass
spectrometry features into a single representation for each peptide charge
state, filter compounds to include only those possibly contributing to the
observed bioactivity, and prioritize these remaining compounds for those
most likely contributing to each bioactivity data set.

print.rankEN: Basic information for class `rankEN`

Description

Usage

Arguments