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Titlebook: Computational Intelligence Methods for Bioinformatics and Biostatistics; 16th International M Paolo Cazzaniga,Daniela Besozzi,Luca Manzoni

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Stochastische Differentialgleichungen (SDG)le. A graph-based multi-level representation of Hi-C data is essential for proper visualisation of the spatial pattern they represent, in particular for comparing different experiments or for re-mapping omics-data in a space-aware context. The size of the HiC data hampers the straightforward use of
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Asymptotik integrierter Prozesse areas such as computer vision, extensive testing and applications to clinical data, particularly in oncology, are still lacking. We applied this technique to synthetic and biomedical datasets, publicly available at The Cancer Genome Atlas (TCGA) and the UC Irvine Machine Learning Repository, to ide
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/232387.jpg
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https://doi.org/10.1007/978-3-030-63061-4bioinformatics; communication systems; computational biology; computer networks; computer systems; comput
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A Smartphone-Based Clinical Decision Support System for Tremor Assessment (ET). Classically, questionnaires like the ETRS and QUEST surveys have been used to assess tremor severity. Recently, attention around computerized tremor analysis has grown. In this study, we use regression trees to map the relationship between tremor data that is collected using the TREMOR12 smar
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Extending Knowledge on Genomic Data and Metadata of Cancer by Exploiting Taxonomy-Based Relaxed Querion of experimental data. These data cover a wide range of biological experiments derived from several sequencing strategies, producing a big amount of heterogeneous data. They are often linked to a set of related metadata that are essential to describe experiments and the analyzed samples, with als
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