breast

This data set details microarray experiment for 52 breast cancer patients. The binary variable <code>status</code> is used to indicate whether or not the patient has died of breast cancer (<code>status = 0</code> = did not die of breast cancer, <code>status = 1</code> = died of breast cancer). The other variables contain the amplification or deletion of the considered genes.Rather than measuring gene expression, this experiment aims to measure gene amplification or deletion, which refers to the number of copies of a particular DNA sequence within the genome. The aim of the experiment is to find out the key genomic factors involved in agressive and non-agressive forms of breast cancer.The experiment was conducted by the Dr. John Bartlett and Dr. Caroline Witton in the Division of Cancer Sciences and Molecular Pathology of the University of Glasgow at the city's Royal Infirmary.

datasets

dglars implements the differential geometric extension
        of the least angle regression method for logistic and Poisson 
        regression models. To compute the implicitly defined solution 
        curve, two different algorithms are implemented, i.e. the 
        predictor-corrector method and the cyclic coordinate descent
        method.

Luigi Augugliaro

dglars

Differential Geometric LARS (dgLARS) method

breast function

Dr. John Bartlett and Dr. Caroline Witton, Division of Cancer Sciences and Molecular Pathology, University of Glasgow, Glasgow Royal Infirmary.

breast: Breast Cancer microarray experiment

Description

Usage

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source

References