@inproceedings{684bbf15b6fb4b77ad1bc44fb56d81d7,
title = "Analysis of Gene Expression Data with Pathway Scores",
abstract = "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. We assess the significance of the scores for the investigated pathways 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 = "Alexander Zien and Robert K{\"u}ffner and Ralf Zimmer and Thomas Lengauer",
note = "Publisher Copyright: Copyright {\textcopyright} 2000, American Association for Artificial Intelligence (www.aaai.org). All rights reserved.; 8th International Conference on Intelligent Systems for Molecular Biology, ISMB 2000 ; Conference date: 19-08-2000 Through 23-08-2000",
year = "2000",
language = "English",
series = "Proceedings of the 8th International Conference on Intelligent Systems for Molecular Biology, ISMB 2000",
publisher = "AAAI Press",
pages = "407--417",
booktitle = "Proceedings of the 8th International Conference on Intelligent Systems for Molecular Biology, ISMB 2000",
}