Atjaunināt sīkdatņu piekrišanu

E-grāmata: Bioinformatics and Biomedical Engineering: 11th International Conference, IWBBIO 2024, Meloneras, Gran Canaria, Spain, July 15-17, 2024, Proceedings, Part II

Edited by , Edited by , Edited by , Edited by , Edited by
  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Bioinformatics 14849
  • Izdošanas datums: 27-Aug-2024
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783031646362
Citas grāmatas par šo tēmu:
  • Formāts - PDF+DRM
  • Cena: 71,37 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Ielikt grozā
  • Pievienot vēlmju sarakstam
  • Šī e-grāmata paredzēta tikai personīgai lietošanai. E-grāmatas nav iespējams atgriezt un nauda par iegādātajām e-grāmatām netiek atmaksāta.
  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Bioinformatics 14849
  • Izdošanas datums: 27-Aug-2024
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783031646362
Citas grāmatas par šo tēmu:

DRM restrictions

  • Kopēšana (kopēt/ievietot):

    nav atļauts

  • Drukāšana:

    nav atļauts

  • Lietošana:

    Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
    Izdevējs ir piegādājis šo grāmatu šifrētā veidā, kas nozīmē, ka jums ir jāinstalē bezmaksas programmatūra, lai to atbloķētu un lasītu. Lai lasītu šo e-grāmatu, jums ir jāizveido Adobe ID. Vairāk informācijas šeit. E-grāmatu var lasīt un lejupielādēt līdz 6 ierīcēm (vienam lietotājam ar vienu un to pašu Adobe ID).

    Nepieciešamā programmatūra
    Lai lasītu šo e-grāmatu mobilajā ierīcē (tālrunī vai planšetdatorā), jums būs jāinstalē šī bezmaksas lietotne: PocketBook Reader (iOS / Android)

    Lai lejupielādētu un lasītu šo e-grāmatu datorā vai Mac datorā, jums ir nepieciešamid Adobe Digital Editions (šī ir bezmaksas lietotne, kas īpaši izstrādāta e-grāmatām. Tā nav tas pats, kas Adobe Reader, kas, iespējams, jau ir jūsu datorā.)

    Jūs nevarat lasīt šo e-grāmatu, izmantojot Amazon Kindle.

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.