Description |
1 online resource (xiv, 350 pages) : illustrations |
Series |
Lecture notes in bioinformatics ; 12313 |
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LNCS sublibrary: SL8. Bioinformatics |
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Lecture notes in computer science. Lecture notes in bioinformatics.
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Lecture notes in computer science ; 12313.
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LNCS sublibrary. SL 8, Bioinformatics.
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Contents |
Computational 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 for the 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 in a 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 |
Summary |
This 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 |
Notes |
International conference proceedings |
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Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed February 16, 2021) |
Subject |
Computational intelligence -- Congresses
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Bioinformatics -- Congresses
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Biometry -- Congresses
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Optical data processing.
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Computers.
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Education -- Data processing.
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Machine learning.
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Computers
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Machine Learning
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computers.
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Computational intelligence
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Biometry
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Bioinformatics
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Computers
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Education -- Data processing
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Machine learning
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Optical data processing
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Genre/Form |
Electronic books
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proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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Form |
Electronic book
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Author |
Cazzaniga, Paolo, editor
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Besozzi, Daniela, editor
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Merelli, Ivan, editor
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Manzoni, Luca, editor
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ISBN |
9783030630614 |
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3030630617 |
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