@inproceedings{9836b45eea0d4000ad72024d493384e1,
title = "An integrated approach to predictive genomic analytics",
abstract = "A variety of methods and algorithms have recently been employed in the analysis of gene expression data, including reverseengineering and knowledge-based pathway modeling, semantic gene similarity, network analysis and clustering. These methods and algorithms address different subparts of the same overall challenge and need to be applied in combination to address predictive genomic analysis as a whole. In this paper, we present an integrated approach to predictive genomic analysis that achieves this objective and describe an application of the approach to the study of neuroprotection in stroke.",
keywords = "Biological pathways, Gene clustering, Gene ontology, Gene similarity, Pathway inference, Predictive pathway analysis",
author = "McDermott, {Jason E.} and Bob Baddeley and Susan Stevens and Antonio Sanfilippo and Rick Riensche and Mary Stenzel-Poore and Ronald Taylor and Russ Jensen",
year = "2010",
doi = "10.1145/1854776.1854837",
language = "English (US)",
isbn = "9781450304382",
series = "2010 ACM International Conference on Bioinformatics and Computational Biology, ACM-BCB 2010",
pages = "390--393",
booktitle = "2010 ACM International Conference on Bioinformatics and Computational Biology, ACM-BCB 2010",
note = "2010 ACM International Conference on Bioinformatics and Computational Biology, ACM-BCB 2010 ; Conference date: 02-08-2010 Through 04-08-2010",
}