Bioinformatics and Biomedical Engineering [electronic resource] : 11th International Conference, IWBBIO 2024, Meloneras, Gran Canaria, Spain, July 15-17, 2024, Proceedings, Part II / edited by Ignacio Rojas, Francisco Ortuño, Fernando Rojas, Luis Javier Herrera, Olga Valenzuela.

Colaborador(es): Rojas, Ignacio [editor.] | Ortuño, Francisco [editor.] | Rojas, Fernando [editor.] | Herrera, Luis Javier [editor.] | Valenzuela, Olga [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Bioinformatics ; 14849Editor: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XXVI, 369 p. 135 illus., 114 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031646362Tema(s): Bioinformatics | Computer networks  | Engineering -- Data processing | Biomedical engineering | Bioinformatics | Computational and Systems Biology | Computer Communication Networks | Data Engineering | Biomedical Engineering and BioengineeringFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 570.285 Clasificación LoC:QH324.2-324.25Recursos en línea: Libro electrónicoTexto
Contenidos:
-Healthcare and Diseases -- Cost utility Analysis of Robotic assisted Radical Cystectomy -- Bridging Domains in Chronic Lower Back Pain Large Language Models and Ontology driven Strategies for Knowledge Graph Construction -- Screening for age related macular degeneration a cost effectiveness evaluation -- Parkinsons disease progression and treatment dynamics accounting for nonlocality of bioneurological processes -- Divergent expression of PD1 as challenges and chances of Immunotherapy targeting PD1or PDL1 in cancer -- Machine Learning in Bioinformatics -- An Algorithm For Local Alignment Of DNA And Protein Sequences -- Modeling of an aquaponic system -- Fish acoustic telemetry as causal stochastic system and PerronFrobenius analysis of its Markov mode -- Breast cancer biomarker analysis using gene co expression networks -- Towards a Computational Approach to Quantification of Allele Specific Expression at Population Level -- Exploring DNA Methylation Patterns in the Core Genome of Klebsiella pneumoniae -- A Transfer Learning based Approach to Unveil Kinase specific Phosphorylation Sites of Understudied Kinases -- New Advances in Deep Learning in Bioinformatics and Biomedicine -- Enhancing Echocardiography Quality with Diffusion Neural Models -- AE Obi LSTM An Efficient IOT Wearable Devices for Cardiovascular Disease Prediction -- Deep Learning Based Breast Cancer Subtype Classification from Whole-Slide Images Leveraging the BRACS Dataset -- Bioinformatics based analysis provides a deeper understanding of how microRNAs control transcriptional activity in mumps virus infection -- Training Deep Learning Neural Networks for Predicting CCS using the METLIN CCS Dataset -- Fully automated multi input deep learning-based system to predict COVID 19 patients outcome from imaging and clinical data -- Pain Assessment in Neonatal Clinical Practice via Facial Expression Analysis and Deep Learning -- Novel Methodologies and Applications in Bioinformatics and Biomedicine -- Visualizing Horizontal Gene Transfer Detection in Phylogenetically Divergent Bacteria -- Enhancing MET Copy Number Estimation by Factoring in Tumor Purity and Variant Types -- Microbiome Classification in Colon Cancer Patients using Chaos Game Representations and CNN models -- A Novel Integrative Model of DNA Dynamics Unifying Stochastic Boolean and Combinatorial Approaches -- Unveiling Diversity Classification of Klebsiella pneumoniae Plasmids from Long read Assemblies -- Study on the construction and application of Engineering bacteria -- TextNetTopics SFTS SBTS TextNetTopics Scoring Approaches based Sequential Forward and Backward -- Interpreting Respiratory Syncytial Virus (RSV) Nucleoprotein Mutations A Structural and Functional Perspective.
En: Springer Nature eBookResumen: This volume constitutes the proceedings of the 11th International Work-Conference on IWBBIO 2023, held in Meloneras, Gran Canaria, Spain, during July 15-17, 2022. The 54 full papers were carefully reviewed and selected from 148 submissions. They were organized in the following topical sections: Healthcare and Diseases, Machine Learning in Bioinformatics, New Advances in Deep Learning in Bioinformatics and Biomedicine, Novel Methodologies and Applications in Bioinformatics and Biomedicine.
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-Healthcare and Diseases -- Cost utility Analysis of Robotic assisted Radical Cystectomy -- Bridging Domains in Chronic Lower Back Pain Large Language Models and Ontology driven Strategies for Knowledge Graph Construction -- Screening for age related macular degeneration a cost effectiveness evaluation -- Parkinsons disease progression and treatment dynamics accounting for nonlocality of bioneurological processes -- Divergent expression of PD1 as challenges and chances of Immunotherapy targeting PD1or PDL1 in cancer -- Machine Learning in Bioinformatics -- An Algorithm For Local Alignment Of DNA And Protein Sequences -- Modeling of an aquaponic system -- Fish acoustic telemetry as causal stochastic system and PerronFrobenius analysis of its Markov mode -- Breast cancer biomarker analysis using gene co expression networks -- Towards a Computational Approach to Quantification of Allele Specific Expression at Population Level -- Exploring DNA Methylation Patterns in the Core Genome of Klebsiella pneumoniae -- A Transfer Learning based Approach to Unveil Kinase specific Phosphorylation Sites of Understudied Kinases -- New Advances in Deep Learning in Bioinformatics and Biomedicine -- Enhancing Echocardiography Quality with Diffusion Neural Models -- AE Obi LSTM An Efficient IOT Wearable Devices for Cardiovascular Disease Prediction -- Deep Learning Based Breast Cancer Subtype Classification from Whole-Slide Images Leveraging the BRACS Dataset -- Bioinformatics based analysis provides a deeper understanding of how microRNAs control transcriptional activity in mumps virus infection -- Training Deep Learning Neural Networks for Predicting CCS using the METLIN CCS Dataset -- Fully automated multi input deep learning-based system to predict COVID 19 patients outcome from imaging and clinical data -- Pain Assessment in Neonatal Clinical Practice via Facial Expression Analysis and Deep Learning -- Novel Methodologies and Applications in Bioinformatics and Biomedicine -- Visualizing Horizontal Gene Transfer Detection in Phylogenetically Divergent Bacteria -- Enhancing MET Copy Number Estimation by Factoring in Tumor Purity and Variant Types -- Microbiome Classification in Colon Cancer Patients using Chaos Game Representations and CNN models -- A Novel Integrative Model of DNA Dynamics Unifying Stochastic Boolean and Combinatorial Approaches -- Unveiling Diversity Classification of Klebsiella pneumoniae Plasmids from Long read Assemblies -- Study on the construction and application of Engineering bacteria -- TextNetTopics SFTS SBTS TextNetTopics Scoring Approaches based Sequential Forward and Backward -- Interpreting Respiratory Syncytial Virus (RSV) Nucleoprotein Mutations A Structural and Functional Perspective.

This volume constitutes the proceedings of the 11th International Work-Conference on IWBBIO 2023, held in Meloneras, Gran Canaria, Spain, during July 15-17, 2022. The 54 full papers were carefully reviewed and selected from 148 submissions. They were organized in the following topical sections: Healthcare and Diseases, Machine Learning in Bioinformatics, New Advances in Deep Learning in Bioinformatics and Biomedicine, Novel Methodologies and Applications in Bioinformatics and Biomedicine.

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