Scores

<p>Principle component scores were computed using PPCA for the data set Nuclei.</p>

Code to support a systems biology research program from inception through publication.  The methods focus on dimension reduction approaches to detect patterns in complex, multivariate experimental data and places an emphasis on informative visualizations.  The goal for this project is to create a package that will evolve over time, thereby remaining relevant and reflective of current methods and techniques.  As a result, we encourage suggested additions to the package, both methodological and graphical.

Samuel V Scarpino

multiDimBio

Multivariate Analysis and Visualization for Biological Data

Scores function

<p>A numeric matrix with 4 columns and the same number of rows as Nuclei.  There are no missing values.</p>

Scores: Principle component scores based on the data in Nuclei

Description

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Examples