Genes with common functions often exhibit correlated expression levels, which can be used to identify sets of interacting genes from microarray data.Microarrays typically measure expression across genomic space, creating a massive matrix of co-expression that must be mined to extract only the most relevant gene interactions.We describe a graph theo
This paper investigates a framework for the application of robust and smooth second order sliding mode control to a class of underactuated mechanical systems for the realization of butter silk sarees pothys high performance control applications.First, using input and state transformations, the dynamics of the class are transformed into a normal for
Since the financial crisis of 2008, the network analysis of financial systems has attracted a lot of attention.In this paper, we analyze the global banking network via the method of Random Matrix Theory.By applying that method on a cross border lending network, it is shown that while the connectivity between different parts of the network has risen