Multivariate exploratory tools for microarray data analysis

Multivariate exploratory tools for microarray data analysis.

The ultimate success of microarray technology in basic and applied biological sciences depends critically on the development of statistical methods for gene expression data analysis. The most widely used tests for differential expression of genes are essentially univariate. Such tests disregard the multidimensional structure of microarray data. Multivariate methods are needed to utilize the inf...

Exploratory tools for clustering multivariate data

The forward search provides a series of robust parameter estimates based on increasing numbers of observations. The resulting series of robustMahalanobis distances is used to clustermultivariate normal data.Themethod depends on envelopes of the distribution of the test statistics in forward plots.These envelopes can be found by simulation; flexible polynomial approximations to the envelopes are...

Exploratory Multivariate Data Analysis

Cover The words on the front and back cover pages have been ordered by letting MATLAB ® choose randomly and uniformly from a list of selected keywords. i Preface This PhD dissertation is based on a series of research projects conducted at The Royal Veterinary and Agricultural University (KVL), in the Chemometrics Research Group of Professor Lars Munck and colleagues during the period 1996-99. P...

Data Models for Exploratory Analysis of Heterogeneous Microarray Data

Exploratory analysis of multivariate image data