summary.rankEN

object

A numeric value >= 1 specifying the maximum number of
compounds to print

max_comp_print

Arguments passed to dot-dot-dot are ignored


Prints a description of the elastic net variable selection process.  Includes
the dimensions used to fit the elastic net model, the fraction names for the
mass spectrometry and the bioactivity data in the region of interest, the
parameter specifications for the model, and a table with the identifying
information of the candidate compounds produced by the model fit.


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.

summary.rankEN: Overview of the elastic net selection process

Description

Usage

Arguments