Statistical challenges in functional genomics. (With comments and a rejoinder). (English) Zbl 1048.62108

Summary: 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.


62P10 Applications of statistics to biology and medical sciences; meta analysis
92C40 Biochemistry, molecular biology
92D10 Genetics and epigenetics


sma; AutoClass
Full Text: DOI


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