Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
Resolving the general organizational principles that govern the interactions during transcriptional gene regulation has great relevance for understanding disease progression, biof...
Background: Cluster analyses are used to analyze microarray time-course data for gene discovery and pattern recognition. However, in general, these methods do not take advantage o...
Hua Liu, Sergey Tarima, Aaron S. Borders, Thomas V...
Background: Structural and functional research often requires the computation of sets of protein structures based on certain properties of the proteins, such as sequence features,...
Background: Elucidating the dynamic behaviour of genetic regulatory networks is one of the most significant challenges in systems biology. However, conventional quantitative predi...