Bioinformatics tools for differential analysis of proteomic expression profiling data from clinical samples

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

With recent advances in technologies for high-throughput genomic and proteomic expression analysis, the simultaneous measurement of expression levels of a large number of molecular entities or so-called profiling has become an important screening tool for the discovery of new biomarkers that are associated with a particular disease process. In addition to the potential for direct clinical applications, such as for early detection and diagnosis of diseases and use as therapeutic targets, results from such “target-hunting” activities also facilitate the generation of hypotheses that may lead to new discoveries that help us to better understand the disease process itself.

Original languageEnglish (US)
Title of host publicationInformatics in Proteomics
PublisherCRC Press
Pages277-292
Number of pages16
ISBN (Electronic)9781420027624
ISBN (Print)9781574444803
DOIs
StatePublished - Jan 1 2005

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Bioinformatics
Computational Biology
Proteomics
Early Diagnosis
Therapeutic Uses
Biomarkers
Technology
Screening
Throughput

ASJC Scopus subject areas

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

Cite this

Bioinformatics tools for differential analysis of proteomic expression profiling data from clinical samples. / Zhang, Zhen.

Informatics in Proteomics. CRC Press, 2005. p. 277-292.

Research output: Chapter in Book/Report/Conference proceedingChapter

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