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Titlebook: Computational Intelligence Methods for Bioinformatics and Biostatistics; 7th International Me Riccardo Rizzo,Paulo J. G. Lisboa Conference

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Identification and Expression of Early Nodulin in Sugarcane Transcriptome Revealed by in Silico Anale multiple alignments revealed high homology among sugarcane sequences and respective proteins from other plants, mainly monocots, revealing a relatively conserved genetic structure among species, probably regarding ancient genetic processes.
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Use of Biplots and Partial Least Squares Regression in Microarray Data Analysis for Assessing Associenes as conditioned variables. PLS regression results are consistent with the PCA-based biplot of EMT genes and with passive projections of polarity genes..Future work will address sparsity in PCA and PLS regression. PLS path modeling will be considered after specification of a detailed dependency network.
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Information - Organisation - Produktionll differentiation problem. Five different methods are presented and tested on two different datasets. Computational results show that machine learning algorithms can be employed in order to automate cell discrimination tasks.
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A Multi-relational Learning Framework to Support Biomedical Applicationshm followed by a multi-relational rule induction. Furthermore, the obtained rules can be represented in a easily comprehensible form and can be used as an advisor to the clinicians during their work in order to help them in determining what knowledge sources are relevant for a treatment plan.
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Stoffhaushalt von Auenökosystemend noisy simulated data. This, together with the polynomial running time, makes our algorithm an useful tool for systematic gene perturbation experiments, able to identify a subset of the oriented regulatory relations with high reliability and to provide valuable insights on the amount of information conveyed by a set of experiments.
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