Principles of gene microarray data analysis

Simone Mocellin, Carlo Riccardo Rossi

Research output: Chapter in Book/Report/Conference proceedingChapter


The development of several gene expression profiling methods, such as comparative genomic hybridization (CGH), differential display, serial analysis of gene expression (SAGE), and gene microarray, together with the sequencing of the human genome, has provided an opportunity to monitor and investigate the complex cascade of molecular events leading to tumor development and progression. The availability of such large amounts of information has shifted the attention of scientists towards a nonreductionist approach to biological phenomena. High throughput technologies can be used to follow changing patterns of gene expression over time. Among them, gene microarray has become prominent because it is easier to use, does not require large-scale DNA sequencing, and allows for the parallel quantification of thousands of genes from multiple samples. Gene microarray technology is rapidly spreading worldwide and has the potential to drastically change the therapeutic approach to patients affected with tumor. Therefore, it is of paramount importance for both researchers and clinicians to know the principles underlying the analysis of the huge amount of data generated with microarray technology.

Original languageEnglish
Title of host publicationAdvances in Experimental Medicine and Biology
PublisherSpringer New York
Number of pages12
ISBN (Print)9780387399775
Publication statusPublished - 2007

Publication series

NameAdvances in Experimental Medicine and Biology
ISSN (Print)00652598

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)


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