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BMCBI
2006
123views more  BMCBI 2006»
13 years 5 months ago
Characterizing disease states from topological properties of transcriptional regulatory networks
Background: High throughput gene expression experiments yield large amounts of data that can augment our understanding of disease processes, in addition to classifying samples. He...
David Tuck, Harriet Kluger, Yuval Kluger
TCS
2008
13 years 5 months ago
Temporal constraints in the logical analysis of regulatory networks
Starting from the logical description of gene regulatory networks developed by R. Thomas, we introduce an enhanced modelling approach based on timed automata. We obtain a refined ...
Heike Siebert, Alexander Bockmayr
BMCBI
2007
169views more  BMCBI 2007»
13 years 5 months ago
Transcriptional regulatory network refinement and quantification through kinetic modeling, gene expression microarray data and i
Background: Gene expression microarray and other multiplex data hold promise for addressing the challenges of cellular complexity, refined diagnoses and the discovery of well-targ...
Abdallah Sayyed-Ahmad, Kagan Tuncay, Peter J. Orto...
BMCBI
2006
118views more  BMCBI 2006»
13 years 5 months ago
Identification of gene expression patterns using planned linear contrasts
Background: In gene networks, the timing of significant changes in the expression level of each gene may be the most critical information in time course expression profiles. With ...
Hao Li, Constance L. Wood, Yushu Liu, Thomas V. Ge...
BMCBI
2010
183views more  BMCBI 2010»
13 years 2 months ago
The complexity of gene expression dynamics revealed by permutation entropy
Background: High complexity is considered a hallmark of living systems. Here we investigate the complexity of temporal gene expression patterns using the concept of Permutation En...
Xiaoliang Sun, Yong Zou, Victoria J. Nikiforova, J...