BMC Bioinformatics

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Characterizing disease states from topological properties of transcriptional regulatory networks

David P Tuck, Harriet M Kluger and Yuval Kluger*

BMC Bioinformatics 2006, 7:236 doi:10.1186/1471-2105-7-236

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Increased entropy of signal transduction in the cancer metastasis phenotype

Andrew E Teschendorff, Simone Severini BMC Systems Biology 2010, 4:104 (30 July 2010)

Metastatic breast cancer is associated with a higher degree of randomness in signal transduction patterns and can be identified by measuring the entropy within integrated protein interaction mRNA expression networks.

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Indirect genomic effects on survival from gene expression data

Egil Ferkingstad, Arnoldo Frigessi, Heidi Lyng Genome Biology 2008, 9:R58 (22 March 2008)

A novel methodology is presented for detecting and quantifying indirect effects on cancer survival mediated through several target genes of transcription factors in cancer microarray data.

Research article   Open Access

Characterization of protein-interaction networks in tumors

Alexander Platzer, Paul Perco, Arno Lukas, Bernd Mayer BMC Bioinformatics 2007, 8:224 (27 June 2007)