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LPS (version 1.0.4)

Linear Predictor Score, for binary inference from multiple continuous variables.

Description

This package provides functions implementing the Linear Predictor Score approach, as initiated by Radmacher et al. (J Comput Biol 2001) and enhanced by Wright et al. (PNAS 2003). Given a set of continuous variables (typically gene expression values), it builds a simple score able to retrieve previously defined classes.

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Version

Install

install.packages('LPS')

Monthly Downloads

30

Version

1.0.4

License

GPL (>= 3)

Maintainer

Sylvain Mareschal

Last Published

December 20th, 2013

Functions in LPS (1.0.4)

heat.map

Enhanced heat map ploting
heat

Heatmap palette generation
plot.LPS

Plot method for LPS objects
predict.LPS

Predict method for LPS objects
LPS

Linear Predictor Score fitting
surv.colors

Produces visual representation of survival data
clusterize

Hierarchical clustering heat maps
OVL

Overlap quantification for LPS object
Rosenwald dataset

Rosenwald et al. Lymphochip data
LPS.coeff

Linear Predictor Score coefficient computation
surv.scale

Plots a survival color scale, for legend
heat.scale

Plots a heat map color scale, for legend