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Bioinformatics and Biomedical Engineering: 11th International Conference, IWBBIO 2024, Meloneras, Gran Canaria, Spain, July 1517, 2024, Proceedings, Part II 2024 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 369 pages, height x width: 235x155 mm, 114 Illustrations, color; 21 Illustrations, black and white; XXVI, 369 p. 135 illus., 114 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Bioinformatics 14849
  • Izdošanas datums: 28-Aug-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031646355
  • ISBN-13: 9783031646355
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  • Formāts: Paperback / softback, 369 pages, height x width: 235x155 mm, 114 Illustrations, color; 21 Illustrations, black and white; XXVI, 369 p. 135 illus., 114 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Bioinformatics 14849
  • Izdošanas datums: 28-Aug-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031646355
  • ISBN-13: 9783031646355
Citas grāmatas par šo tēmu:
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.
-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.