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Analysis of Gene Expression Data with Pathway Scores

2000

Conference Paper

ei


We present a new approach for the evaluation of gene expression data. The basic idea is to generate biologically possible pathways and to score them with respect to gene expression measurements. We suggest sample scoring functions for different problem specifications. The significance of the scores for the investigated pathways is assessed by comparison to a number of scores for random pathways. We show that simple scoring functions can assign statistically significant scores to biologically relevant pathways. This suggests that the combination of appropriate scoring functions with the systematic generation of pathways can be used in order to select the most interesting pathways based on gene expression measurements.

Author(s): Zien, A. and Küffner, R. and Zimmer, R. and Lengauer, T.
Book Title: ISMB 2000
Journal: Proceedings of the 8th International Conference on Intelligent Systems for Molecular Biology (ISMB 2000)
Pages: 407-417
Year: 2000
Month: August
Day: 0
Publisher: AAAI Press

Department(s): Empirical Inference
Bibtex Type: Conference Paper (inproceedings)

Event Name: 8th International Conference on Intelligent Systems for Molecular Biology
Event Place: La Jolla, CA, USA

Address: Menlo Park, CA, USA
Digital: 0
Institution: Fraunhofer Institute SCAI
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik

Links: PDF

BibTex

@inproceedings{2137,
  title = {Analysis of Gene Expression Data with Pathway Scores},
  author = {Zien, A. and K{\"u}ffner, R. and Zimmer, R. and Lengauer, T.},
  journal = {Proceedings of the 8th International Conference on Intelligent Systems for Molecular Biology (ISMB 2000)},
  booktitle = {ISMB 2000},
  pages = {407-417},
  publisher = {AAAI Press},
  organization = {Max-Planck-Gesellschaft},
  institution = {Fraunhofer Institute SCAI},
  school = {Biologische Kybernetik},
  address = {Menlo Park, CA, USA},
  month = aug,
  year = {2000},
  month_numeric = {8}
}