Titlebook: Computational Intelligence Methods for Bioinformatics and Biostatistics; 13th International M Andrea Bracciali,Giulio Caravagna,Roberto Tag

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Susanne Kytzia,Claude Siegenthaler an automated analysis framework to extract statistics and evaluate results. In this study, we use Gabor energy texture descriptors to generate a high dimensional feature space which is analysed with principal component analysis to provide unsupervised characterisation of texture differences between

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https://doi.org/10.1007/978-3-642-79793-4olite concentrations and they imply the assumption that a biological process is optimized towards a given function. In this work we define a computational strategy exploiting mechanism based simulations as a framework to determine, through a filtering procedure, ensembles of kinetic constants and st

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Edelgard Gruber,Ulla B?de,Klaus Beck modularisation of scale into integrated layers: Object and Population. An Object can represent a molecule, organelle, cell, tissue, organ or any organism. Populations hold specific types of Object, for example, life stages, cell phases and infectious states. The syntax and semantics of this novel l

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,Stoffstr?me in der Altbaumodernisierung,g amount of data produced is difficult to analyse and interpret in terms of time consuming and number of different resources used. In this context, the challenge would be to have an integrated and multi component database with a user friendly interface able to solve biological problems without a pri

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https://doi.org/10.1007/978-3-642-95241-8s way the damage in biomolecules. In this work, the effect of radiation on liposomes of 1,2-dipalmitoyl-sn-glycero-3-[phospho-rac-(1-glycerol)(sodium salt) (DPPG) and of 1,2-dimyristoyl-sn-glycero-3-phosphocholine (DMPC) is analyzed in the absence and presence of epigallocatechin-3-gallate (EGCG) mo

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https://doi.org/10.1007/978-3-322-91134-6mparing different samples and finding similar based on their community compositions. Pervasive method to accomplish these steps is clustering. However clustering brings number of possibilities regarding algorithms, parameters, distance/similarity metrics, etc., that produce different outcomes making