Methodological Review: Towards knowledge-based gene expression data mining

Authors:
Riccardo Bellazzi;Bla Zupan
Affiliations:
Dipartimento di Informatica e Sistemistica, Universití di Pavia, via Ferrata 1, I-27100 Pavia, Italy;Faculty of Computer and Information Science, University of Ljubljana, Trzaska 25, SI-1000, Slovenia and Department of Molecular and Human Genetics, Baylor College of Medicine, 1 Baylor Plaza, Hous ...
Venue:
Journal of Biomedical Informatics
Year:
2007

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Abstract

The field of gene expression data analysis has grown in the past few years from being purely data-centric to integrative, aiming at complementing microarray analysis with data and knowledge from diverse available sources. In this review, we report on the plethora of gene expression data mining techniques and focus on their evolution toward knowledge-based data analysis approaches. In particular, we discuss recent developments in gene expression-based analysis methods used in association and classification studies, phenotyping and reverse engineering of gene networks.