We present a method for inference of transcriptional modules from heterogeneous data sources. It allows identifying the responsible set of regulators in combination with their corresponding DNA recognition sites (motifs) and target genes. Our approach distinguishes itself from previous work in literature because it fully exploits the knowledge of three independently acquired data sources: ChIP-chip data; motif information as obtained by phylogenetic shadowing; and gene expression profiles obtained using microarray experiments. Moreover, these three data sources are dealt with in a new and fully integrated manner. By avoiding approaches that take the different data sources into account sequentially or iteratively, the transparency of the method and the interpretability of the results are ensured. Using our method on biological data demonstrated the biological relevance of the inference.
|Translated title of the contribution||Discovering Transcriptional Modules from Motif, Chip-Chip and Microarray Data|
|Journal||Pacific Symposium on Biocomputing|
|Publication status||Published - 2005|
Bibliographical noteISBN: 9812560467
Name and Venue of Conference: Pacific Symposium on Biocomputing
Other identifier: 2000802