Adriana Climescu-Haulica

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BACKGROUND This work explores the quantitative characteristics of the local transcriptional regulatory network based on the availability of time dependent gene expression data sets. The dynamics of the gene expression level are fitted via a stochastic differential equation model, yielding a set of specific regulators and their contribution. RESULTS We(More)
In the context of stochastic dependency of the noise and signal-as in the case of the reverberation noise-the classical methods of signal detection are not applicable. The paper presents a likelihood ratio detection method based on stochastic calculus. The novel aspects of the method are: the signal and the noise need not be stochastically independent and(More)
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