| Título : |
16th International Meeting, CIBB 2019, Bergamo, Italy, September 4–6, 2019, Revised Selected Papers |
| Tipo de documento: |
documento electrónico |
| Autores: |
Cazzaniga, Paolo, ; Besozzi, Daniela, ; Merelli, Ivan, ; Manzoni, Luca, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2020 |
| Número de páginas: |
XIV, 350 p. 28 ilustraciones, 1 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-63061-4 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Bioinformática Visión por computador Red de computadoras Aprendizaje automático Biología Computacional y de Sistemas Redes de comunicación informática Computadoras y Educación |
| Índice Dewey: |
570.285 |
| Resumen: |
Este libro constituye una selección revisada de artículos de la 16.ª Reunión Internacional sobre Métodos de Inteligencia Computacional para Bioinformática y Bioestadística, CIBB 2019, que se celebró en Bérgamo, Italia, del 4 al 6 de septiembre de 2019. Los 28 artículos completos presentados en este volumen fueron cuidadosamente revisados. y seleccionado entre 55 presentaciones. Los artículos se agrupan en secciones temáticas de la siguiente manera: Métodos de inteligencia computacional para bioinformática y bioestadística; Métodos algebraicos y computacionales para el estudio del comportamiento del ARN; Métodos de inteligencia para la medicina de caracterización molecular; Aprendizaje Automático en Informática Sanitaria y Biología Médica; Métodos de modelado y simulación para biología computacional y medicina de sistemas. |
| Nota de contenido: |
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 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. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
16th International Meeting, CIBB 2019, Bergamo, Italy, September 4–6, 2019, Revised Selected Papers [documento electrónico] / Cazzaniga, Paolo, ; Besozzi, Daniela, ; Merelli, Ivan, ; Manzoni, Luca, . - 1 ed. . - [s.l.] : Springer, 2020 . - XIV, 350 p. 28 ilustraciones, 1 ilustraciones en color. ISBN : 978-3-030-63061-4 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Bioinformática Visión por computador Red de computadoras Aprendizaje automático Biología Computacional y de Sistemas Redes de comunicación informática Computadoras y Educación |
| Índice Dewey: |
570.285 |
| Resumen: |
Este libro constituye una selección revisada de artículos de la 16.ª Reunión Internacional sobre Métodos de Inteligencia Computacional para Bioinformática y Bioestadística, CIBB 2019, que se celebró en Bérgamo, Italia, del 4 al 6 de septiembre de 2019. Los 28 artículos completos presentados en este volumen fueron cuidadosamente revisados. y seleccionado entre 55 presentaciones. Los artículos se agrupan en secciones temáticas de la siguiente manera: Métodos de inteligencia computacional para bioinformática y bioestadística; Métodos algebraicos y computacionales para el estudio del comportamiento del ARN; Métodos de inteligencia para la medicina de caracterización molecular; Aprendizaje Automático en Informática Sanitaria y Biología Médica; Métodos de modelado y simulación para biología computacional y medicina de sistemas. |
| Nota de contenido: |
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 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. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
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