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245 1 0 _aComputational Intelligence Methods for Bioinformatics and Biostatistics
_h[electronic resource] :
_b16th International Meeting, CIBB 2019, Bergamo, Italy, September 4–6, 2019, Revised Selected Papers /
_cedited by Paolo Cazzaniga, Daniela Besozzi, Ivan Merelli, Luca Manzoni.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXIV, 350 p. 28 illus., 1 illus. in color.
_bonline resource.
336 _atext
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337 _acomputer
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338 _aonline resource
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347 _atext file
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490 1 _aLecture Notes in Bioinformatics,
_x2366-6331 ;
_v12313
505 0 _aComputational Intelligence Methods for Bioinformatics and Biostatistics -- A Smartphone-Based Clinical Decision Support System for Tremor Assessment -- cyTRON and cyTRON/JS: two Cytoscape-based applications for the inference of cancer evolution models -- Effective use of evolutionary computation to parameterise an epidemiological model -- Extending knowledge on genomic data and metadata of cancer by exploiting taxonomy-based relaxed queries on domain-specific ontologies -- GAN-Based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer’s Disease Diagnosis -- Improving the Fusion of Outbreak Detection Methods with Supervised Learning -- Learning cancer drug sensitivities in large-scale screens from multi-omics data with local low-rank structure -- Mass Spectra Interpretation and the Interest of SpecFit for Identifying Uncommon Modifications -- MSAX: Multivariate symbolic aggregate approximation for time series classification -- NeoHiC: a Web Application forthe Analysis of Hi-C Data 100 Random sample consensus for the robust identification of outliers in cancer data -- Solving Equations on Discrete Dynamical Systems -- SW+: On Accelerating Smith-Waterman Execution of GATK HaplotypeCaller -- Algebraic and Computational Methods for the Study of RNA Behaviour -- Algebraic Characterisation of Non-coding RNA 141 Bi-Alignments as Models of Incongruent Evolution of RNA Sequence and Secondary Structure -- Label Core for Understanding RNA Structures -- Modification of Valiant’s Parsing Algorithm for the String-Searching Problem -- On Secondary Structure Analysis by Using Formal Grammars and Artificial Neural Networks -- Intelligence methods for molecular characterization and dynamics in translational medicine -- Integration of single-cell RNA-sequencing data into flux balance cellular automata -- Machine Learning in Healthcare Informatics and Medical Biology -- Characterizing bipolar disorder-associated single nucleotide polymorphisms ina large UK cohort using Association Rules -- Evaluating deep semi-supervised learning for whole-transcriptome breast cancer subtyping -- Learning Weighted Association Rules in Human Phenotype Ontology -- Network modeling and analysis of normal and cancer gene expression data -- Regularization techniques in Radiomics: A case study on the prediction of pCR in Breast Tumours and the Axilla -- Modeling and Simulation Methods for Computational Biology and Systems Medicine -- In Silico evaluation of daclizumab and vitamin D effects in Multiple Sclerosis using Agent Based Models -- Multiple Sclerosis disease: a computational approach for investigating its drug interactions -- Observability of bacterial growth models in bubble column bioreactors -- On the simulation and automatic parametrization of metabolic networks through Electronic Design Automation.
520 _aThis book constitutes revised selected papers from the 16th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2019, which was held in Bergamo, Italy, during September 4-6, 2019. The 28 full papers presented in this volume were carefully reviewed and selected from 55 submissions. The papers are grouped in topical sections as follows: Computational Intelligence Methods for Bioinformatics and Biostatistics; Algebraic and Computational Methods for the Study of RNA Behaviour; Intelligence methods for molecular characterization medicine; Machine Learning in Healthcare Informatics and Medical Biology; Modeling and Simulation Methods for Computational Biology and Systems Medicine.
650 0 _aBioinformatics.
650 0 _aComputer vision.
650 0 _aComputer networks .
650 0 _aEducation
_xData processing.
650 0 _aMachine learning.
650 1 4 _aComputational and Systems Biology.
650 2 4 _aComputer Vision.
650 2 4 _aComputer Communication Networks.
650 2 4 _aComputers and Education.
650 2 4 _aMachine Learning.
700 1 _aCazzaniga, Paolo.
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700 1 _aBesozzi, Daniela.
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700 1 _aMerelli, Ivan.
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700 1 _aManzoni, Luca.
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830 0 _aLecture Notes in Bioinformatics,
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856 4 0 _uhttps://doi.org/10.1007/978-3-030-63061-4
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