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Estimating cellular pathways from an ensemble of heterogeneous data sources

bioRxiv

Jun 23, 2014

Alexander FranksEdoardo Airoldi

Abstract

Building better models of cellular pathways is one of the major challenges of systems biology and functional genomics. There is a need for methods to build on established expert knowledge and reconcile it with results of high-throughput studies. Moreover, the available data sources are ...read more

Mentioned in this Paper

Systems Biology
MAPK Signaling Pathway
Biochemical Pathway
Reconcile
Pheromone
Saccharomyces cerevisiae
Protein Serine/Threonine Kinase Activity
Yeasts
High-Throughput RNA Sequencing
Case-Control Studies
2
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Estimating cellular pathways from an ensemble of heterogeneous data sources

bioRxiv

Jun 23, 2014

Alexander FranksEdoardo Airoldi

PMID: 990006478

DOI: 10.1101/006478

Abstract

Building better models of cellular pathways is one of the major challenges of systems biology and functional genomics. There is a need for methods to build on established expert knowledge and reconcile it with results of high-throughput studies. Moreover, the available data sources are ...read more

Mentioned in this Paper

Systems Biology
MAPK Signaling Pathway
Biochemical Pathway
Reconcile
Pheromone
Saccharomyces cerevisiae
Protein Serine/Threonine Kinase Activity
Yeasts
High-Throughput RNA Sequencing
Case-Control Studies
2
Paper Details
References
  • References
  • Citations
  • finger pointing at paper

    References currently unavailable

    We're still populating references for this paper, please check back later.
  • References
  • Citations
  • quote and clock

    No citations available

    This paper may not have been cited yet.
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