A scalable systems analysis approach for regulated metabolic networks.

Paul A. Jensen, Jason A. Papin

Research output: Contribution to journalArticlepeer-review

Abstract

High-throughput data such as genome sequencing and genome expression profiling have enabled the reconstruction of cellular networks. These networks have been represented in computational frameworks that can be used to make testable predictions concerning phenotypes under a variety of experimental conditions and multiple molecular perturbations. This presentation will detail several recent advances in the analysis of these networks as well as provide an outlook of remaining challenges.

Original languageEnglish (US)
Pages (from-to)5464-5465
Number of pages2
JournalConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
StatePublished - Dec 1 2009
Externally publishedYes

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Fingerprint Dive into the research topics of 'A scalable systems analysis approach for regulated metabolic networks.'. Together they form a unique fingerprint.

Cite this