rosenwald

rosenwald.expr

rosenwald.cli

This dataset contains 60 Diffuse Large B-Cell Lymphomas analysed on Lymphochip microarrays, as published by Rosenwald et al. The "Germinal Center B-cell like" and "Activated B-Cell like" subtypes, as determined by hierarchical clustering, were predicted by a LPS approach in Wright et al.
  
  To minimize package size, values were rounded at 3 decimals and only 60 DLBCL from the 240 series were randomly selected (40 from the "Training" set, 20 from the "Validation" set), excluding "Type III" sub-types.

datasets

Rosenwald dataset

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.

Sylvain Mareschal

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

Rosenwald dataset function

source

Rosenwald et al. Lymphochip data

Rosenwald dataset: Rosenwald et al. Lymphochip data

Description

Usage

Arguments

source

References