On February 12, 2001 the Human Genome
Project announced the completion of a draft physical map of the
human genome---the genetic blueprint for a human being. Now the
challenge is to annotate this map by understanding the functions
of genes and their interplay with proteins and the environment to
create complex, dynamic living systems. This is the goal of
functional genomics. Recent technological advances enable
biomedical investigators to observe the genome of entire organisms
in action by simultaneously measuring the level of activation of
thousands of genes under the same experimental conditions. This
technology, known as microarrays, today provides unparalleled
discovery opportunities and is reshaping biomedical sciences. One
of the main aspects of this revolution is the introduction of
computationally intensive data analysis methods in biomedical
research. This article reviews the foundations of this technology
and describes the statistical challenges posed by the analysis of
microarray data.
@article{1056397486,
author = {Sebastiani, Paola and Gussoni, Emanuela and Kohane, Isaac S. and Ramoni, Marco F.},
title = {Statistical Challenges in Functional Genomics},
journal = {Statist. Sci.},
volume = {18},
number = {1},
year = {2003},
pages = { 33-70},
language = {en},
url = {http://dml.mathdoc.fr/item/1056397486}
}
Sebastiani, Paola; Gussoni, Emanuela; Kohane, Isaac S.; Ramoni, Marco F. Statistical Challenges in Functional Genomics. Statist. Sci., Tome 18 (2003) no. 1, pp. 33-70. http://gdmltest.u-ga.fr/item/1056397486/