Diagnostic plots for detecting outlying slides in a cDNA microarray experiment

cDNA Microarray Data Normalization

A framework for determining outlying microarray experiments.

Microarrays are high-throughput technologies whose data are known to be noisy. In this work, we propose a graph-based method which first identifies the extent to which a single microarray experiment is noisy and then applies an error function to clean individual expression levels. These two steps are unified within a framework based on a graph representation of a separate data set from some rep...

Procedures for Detecting Outlying Observations in Samples

Detecting Outlying Samples in a PARAFAC Model

To explore multi-way data, different methods have been proposed. Here, we study the popular PARAFAC (Parallel factor analysis) model, which expresses multi-way data in a more compact way, without ignoring the underlying complex structure. To estimate the score and loading matrices, an alternating least squares procedure is typically used. It is however well known that least squares techniques s...

DATA MINING cDNA MICROARRAY EXPERIMENT WITH A GEE APPROACH

The use of microarray technology provides access to the simultaneous expression of thousands of genes and is revolutionizing the scientific community of functional genomics. This thesis investigates a cDNA microarray experiment with the goal of discovering differentially expressed genes across several factors. The analysis first ”normalizes” the data through the VSN package which is a robust ca...