Application of Random Matrix Theory to Analyze Biological Data

Chapter

Abstract

The development of high-throughput biological techniques, such as, gene expression microarray [1, 2], mass spectrometry [3], single-nucleotide polymorphism (SNP) arrays [4], next generation sequencing [5], yeast two hybrid screening [6], and synthetic genetic arrays [7] makes it possible to generate genotypic, transcriptional, proteomic, and other measurements about cellular systems on a massive scale. The application of these high-throughput techniques may revolutionize all aspects of biological research.

Keywords

Saccharomyces Shewanella 

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.School of ComputingClemson UniversityClemsonUSA
  2. 2.Institute for Environmental GenomicsUniversity of OklahomaNormanUSA

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