Kabir / Al-Mubaid / Eulenstein | Bioinformatics and Computational Biology | Buch | 978-3-032-26027-7 | www.sack.de

Buch, Englisch, Band 2977, 304 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 482 g

Reihe: Communications in Computer and Information Science

Kabir / Al-Mubaid / Eulenstein

Bioinformatics and Computational Biology

18th International Conference, BICOB 2026, Honolulu, Hawaii, USA, March 23-25, 2026, Proceedings
Erscheinungsjahr 2026
ISBN: 978-3-032-26027-7
Verlag: Springer

18th International Conference, BICOB 2026, Honolulu, Hawaii, USA, March 23-25, 2026, Proceedings

Buch, Englisch, Band 2977, 304 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 482 g

Reihe: Communications in Computer and Information Science

ISBN: 978-3-032-26027-7
Verlag: Springer


This book constitutes the refereed proceedings of the 18th International Conference on Bioinformatics and Computational Biology, BICOB 2026, held in Honululu, Hawaii, USA, during March 23–March 25, 2026.


The 21 full papers presented in this book were carefully reviewed and selected from 38 submissions.The conference covered a wide range of bioinformatics and computational biology topics, including bioinformatics algorithms, computational proteomics, genomics, structural bioinformatics, graph and machine learning applications in bioinformatics, as well as medical and healthcare informatics.

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Weitere Infos & Material


.- Modeling Virus–Tumor Interactions and Control in Oncolytic Virotherapy.
.- Fourier vs. Attention: A Re-look at Protein Sequence Generation Models.
.- A Structure-Aware Attention Mechanism for Protein Function Prediction.
.- Deep Learning Based Wound Segmentation and Characterization with LLM-Assisted Clinical 
Interpretability.
.- Averaged Dynamics of Eco-Epidemic Processes on Graph.
.- Predicting Equilibrium in a Predator–Prey System with Disease.
.- A Clinical Decision Support Tool for Predicting Intensive Care Unit (ICU) Readmission After 
Postoperative Breast Cancer Surgery Using MIMIC-IV Data.
.- Decoding the Latent Space: A Comparative Analysis of Autoencoder Representations for Protein 
Fold Recognition.
.- Integration of Supervised Machine Learning Algorithms and MALDI-TOF MS for Identifying 
Vancomycin-Resistant Enterococcus faecium Isolates.
.- DCJ and Indel Distance Considering Intergenic Region Information.
.- ABUS: A Framework for Evaluating Protein Language Models with Multimodal 
Capabilities.
.- Modernizing Open-TGGATEs through Data and AI Methods.
.- SpaHMS: Dynamic Multi-Scale Integration of Multi-Batch Spatial Multi-Omics.
.- Predicting Obstetric and Non-obstetric Diagnoses Co-occurrences during Pregnancy.
.- Classification of a Post-Traumatic Stress DisorderRelated Brain Condition Using Dynamic 
Functional Connectivity Statistics in Functional MRI.
.- PanACRpred: Predicting Accessible Chromatin Regions in Pangenomes using 
Motif Chaining.
.- scFiLM: Dynamic Fusion of Gene Identity and Expression for Single-Cell Analysis.
.- Computational Discovery of CRISPR-Cas13b Guide RNAs for Broad-Spectrum Dengue Virus 
Targeting.
.- Graph-Regularized Embedding Refinement for Spatial Domain Identification.
.- SCOPE-PD: Explainable AI on Subjective and Clinical Objective Measurements of Parkinson’s 
Disease for Precision Decision-Making.
.- Factorization-driven Representation Learning Techniques for Protein Tertiary Structure 
Prediction: A Comprehensive Review.



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