Microarray-based class discovery for molecular classification of breast cancer: analysis of interobserver agreement.

ABSTRACT:

Background

Breast cancers can be classified by hierarchical clustering using an "intrinsic" gene list into one of at least five molecular subtypes: basal-like, HER2, luminal A, luminal B, and normal breast-like. Five different intrinsic gene lists composed of varying numbers of genes have been used for molecular subtype identification and classification of breast cancers. The aim of this study was to determine the objectivity and interobserver reproducibility of the assignment of molecular subtype classes by hierarchical cluster analysis.

Methods

Three publicly available breast cancer datasets (n = 779) were subjected to two-way average-linkage hierarchical cluster analysis using five distinct intrinsic gene lists. We used free-marginal Kappa statistics to analyze interobser

SUBMITTER: Mackay A 

PROVIDER: S-EPMC3079850 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature