Smart-Plexer: a breakthrough workflow for hybrid development of multiplex PCR assays
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Smart-Plexer: a breakthrough workflow for hybrid development of multiplex PCR assays ; volume:6 ; number:1 ; day:9 ; month:9 ; year:2023 ; pages:1-16 ; date:12.2023
Communications biology ; 6, Heft 1 (9.9.2023), 1-16, 12.2023
- Creator
-
Miglietta, Luca
Chen, Yuwen
Luo, Zhi
Xu, Ke
Ding, Ning
Peng, Tianyi
Moniri, Ahmad
Kreitmann, Louis
Cacho-Soblechero, Miguel
Holmes, Alison
Georgiou, Pantelis
Rodriguez-Manzano, Jesus
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s42003-023-05235-w
- URN
-
urn:nbn:de:101:1-2024020510214752324903
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:24 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Miglietta, Luca
- Chen, Yuwen
- Luo, Zhi
- Xu, Ke
- Ding, Ning
- Peng, Tianyi
- Moniri, Ahmad
- Kreitmann, Louis
- Cacho-Soblechero, Miguel
- Holmes, Alison
- Georgiou, Pantelis
- Rodriguez-Manzano, Jesus
- SpringerLink (Online service)
Other Objects (12)
Using adaptive learning rate to generate adversarial images
Robustness evaluation on different training state of a CNN model
Refining Risk Prediction for Recurrent Venous Thromboembolism: Can We Do Better?
Quantitative wear evaluation of tips based on sharp structures
Generating adversarial images to monitor the training state of a CNN model
The Image flip effect on a CNN model classification
Generate adversarial images with gradient search
Minimally Distorted Adversarial Images with a Step-Adaptive Iterative Fast Gradient Sign Method
Debt choice, growth opportunities and corporate investment: Evidence from China
Feature space separation by conformity loss driven training of CNN
Research on National Pattern Reuse Design and Optimization Method Based on Improved Shape Grammar
Experimental Study of Egress Selection Behavior Between Stairs and Elevators During High-Rise Building Evacuation
Using adaptive learning rate to generate adversarial images
Robustness evaluation on different training state of a CNN model
Refining Risk Prediction for Recurrent Venous Thromboembolism: Can We Do Better?
Quantitative wear evaluation of tips based on sharp structures
Generating adversarial images to monitor the training state of a CNN model
The Image flip effect on a CNN model classification
Generate adversarial images with gradient search
Minimally Distorted Adversarial Images with a Step-Adaptive Iterative Fast Gradient Sign Method
Debt choice, growth opportunities and corporate investment: Evidence from China
Feature space separation by conformity loss driven training of CNN
Research on National Pattern Reuse Design and Optimization Method Based on Improved Shape Grammar
Experimental Study of Egress Selection Behavior Between Stairs and Elevators During High-Rise Building Evacuation
Using adaptive learning rate to generate adversarial images
Robustness evaluation on different training state of a CNN model
Refining Risk Prediction for Recurrent Venous Thromboembolism: Can We Do Better?
Quantitative wear evaluation of tips based on sharp structures
Generating adversarial images to monitor the training state of a CNN model
The Image flip effect on a CNN model classification
Generate adversarial images with gradient search
Minimally Distorted Adversarial Images with a Step-Adaptive Iterative Fast Gradient Sign Method
Debt choice, growth opportunities and corporate investment: Evidence from China
Feature space separation by conformity loss driven training of CNN
Research on National Pattern Reuse Design and Optimization Method Based on Improved Shape Grammar