Identification of aberrant pathway and network activity from high-throughput data-workshop introduction

M. F. Ochs, R. Karchin, H. Ressom, R. Gentleman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The workshop focused on approaches to deduce changes in biological activity in cellular pathways and networks that drive phenotype from high-throughput data. Work in cancer has demonstrated conclusively that cancer etiology is driven not by single gene mutation or expression change, but by coordinated changes in multiple signaling pathways. These pathway changes involve different genes in different individuals, leading to the failure of gene-focused analysis to identify the full range of mutations or expression changes driving cancer development. There is also evidence that metabolic pathways rather than individual genes play the critical role in a number of metabolic diseases. Tools to look at pathways and networks are needed to improve our understanding of disease and to improve our ability to target therapeutics at appropriate points in these pathways.

Original languageEnglish (US)
Title of host publicationPacific Symposium on Biocomputing 2011, PSB 2011
Pages364-368
Number of pages5
StatePublished - 2011
Event16th Pacific Symposium on Biocomputing, PSB 2011 - Kohala Coast, HI, United States
Duration: Jan 3 2011Jan 7 2011

Other

Other16th Pacific Symposium on Biocomputing, PSB 2011
CountryUnited States
CityKohala Coast, HI
Period1/3/111/7/11

Keywords

  • disease
  • metabolic pathways
  • Signal pathways
  • statistics

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Biomedical Engineering
  • Medicine(all)

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