Titlebook: Computational Intelligence Methods for Bioinformatics and Biostatistics; 6th International Me Francesco Masulli,Leif E. Peterson,Roberto Ta

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Non-parametric MANOVA Methods for Detecting Differentially Expressed Genes in Real-Time RT-PCR Experxpression variation across groups of treatment..Because of the non-normal distribution of data, non-parametric methods based on the MANOVA approach and the use of permutations to obtain global F-ratio tests have been proposed to deal with this problem. The issue of analyzing univariate contrasts is

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Penalized Principal Component Analysis of Microarray Data the validity of the analytical results. Hence attention has to be given to some form of dimension reduction to represent the data in terms of a smaller number of variables. The latter are often chosen to be a linear combinations of the original variables (genes) called metagenes. One commonly used

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An Information Theoretic Approach to Reverse Engineering of Regulatory Gene Networks from Time–Courslations. Several methods have been developed to infer gene networks from steady-state data, much less literature is produced about time-course data, so the development of algorithms to infer gene networks from time-series measurements is a current challenge into bioinformatics research area. In orde

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On the Use of Temporal Formal Logic to Model Gene Regulatory Networksn graph between molecules is known, the deduction of the cellular dynamics from this graph remains a strong corner stone of the modelling activity, in particular one has to face the parameter identification problem. This article is devoted to convince the reader that computers can be used not only t

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Microarray Data Analysis via Weighted Indices and Weighted Majority Gamese of genetic diseases (especially tumors). A microarray game is for short an average of unanimity games, where each game corresponds to a patient: the underlying assumption is that the . of the abnormally expressed genes is, as a whole, responsible for the disease in each patient, and thus is global

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Combining Replicates and Nearby Species Data: A Bayesian Approachspecies as a monadic source of data when replicated experiments are available or, viceversa, should we try to collect information from the large number of nearby species analyzed in the different laboratories? In this paper we make and justify the observation that experimental replicates and phyloge

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