Leveraging deep learning to improve vaccine design
AP Hederman, ME Ackerman - Trends in immunology, 2023 - cell.com
Deep learning has led to incredible breakthroughs in areas of research, from self-driving
vehicles to solutions, to formal mathematical proofs. In the biomedical sciences, however …
vehicles to solutions, to formal mathematical proofs. In the biomedical sciences, however …
[HTML][HTML] Pairing omics to decode the diversity of plant specialized metabolism
Highlights•Pairing omics data allows linking transcripts to spectra for plant biosynthetic
pathway mining.•Paired omics requires standards for experimental design, data, and …
pathway mining.•Paired omics requires standards for experimental design, data, and …
DeepIDA-GRU: a deep learning pipeline for integrative discriminant analysis of cross-sectional and longitudinal multiview data with applications to inflammatory bowel …
S Jain, SE Safo - Briefings in Bioinformatics, 2024 - academic.oup.com
Biomedical research now commonly integrates diverse data types or views from the same
individuals to better understand the pathobiology of complex diseases, but the challenge …
individuals to better understand the pathobiology of complex diseases, but the challenge …
A deep learning pipeline for cross-sectional and longitudinal multiview data integration
Biomedical research now commonly integrates diverse data types or views from the same
individuals to better understand the pathobiology of complex diseases, but the challenge …
individuals to better understand the pathobiology of complex diseases, but the challenge …
mvlearnR and Shiny App for multiview learning
EF Palzer, SE Safo - Bioinformatics Advances, 2024 - academic.oup.com
The package mvlearnR and accompanying Shiny App is intended for integrating data from
multiple sources or views or modalities (eg genomics, proteomics, clinical, and demographic …
multiple sources or views or modalities (eg genomics, proteomics, clinical, and demographic …
Spanning Thread: A Multidimensional Classification Method for Efficient Data Center Management
Data originating from diverse sources, including relational and NoSQL databases, web
pages, texts, images, recordings, and videos, are expanding in both size and complexity …
pages, texts, images, recordings, and videos, are expanding in both size and complexity …
[PDF][PDF] MODELING OF NEURAL NETWORK MONITORING AGENT TO PREDICT TRAFFIC SPIKES AND AGENT TRAINING
OJ Kravets, IA Aksenov, YV Redkin… - International Journal on …, 2024 - ijits-bg.com
The article completes the study of solutions to the problem of creating distributed QoS
monitoring control in IoT and IIoT telecommunications. A multi-agent architecture is used …
monitoring control in IoT and IIoT telecommunications. A multi-agent architecture is used …
[PDF][PDF] DEVELOPMENT OF A NEURAL NETWORK MODEL OF AN INTELLIGENT MONITORING AGENT BASED ON A RECURRENT NEURAL NETWORK WITH A …
OA Raheem, IA Aksenov, YV Redkin… - International Journal on …, 2024 - ijits-bg.com
The article continues to review the approach to designing the architecture of a distributed
information monitoring system and quality management of communication services provided …
information monitoring system and quality management of communication services provided …