特表2018-520657 | 知財ポータル「IP Force」
Sensors | Free Full-Text | Validation of a Sensor-Based Dynamic Ski Deflection Measurement in the Lab and Proof-of-Concept Field Investigation
Activating PTEN Tumor Suppressor Expression with the CRISPR/dCas9 System: Molecular Therapy - Nucleic Acids
A study of longitudinal mobile health data through fuzzy clustering methods for functional data: The case of allergic rhinoconjunctivitis in childhood | PLOS ONE
Regulated degradation of the inner nuclear membrane protein SUN2 maintains nuclear envelope architecture and function | eLife
Bears
Machine learning methods to model multicellular complexity and tissue specificity | Nature Reviews Materials
JCM | Free Full-Text | A Survey of Radiomics in Precision Diagnosis and Treatment of Adult Gliomas
Sensors | Free Full-Text | Review of Real-Time Biomechanical Feedback Systems in Sport and Rehabilitation
特表2018-520657 | 知財ポータル「IP Force」
特表2019-533981 | 知財ポータル「IP Force」
Ice Nucleation of Model Nanoplastics and Microplastics: A Novel Synthetic Protocol and the Influence of Particle Capping at Diverse Atmospheric Environments | ACS Earth and Space Chemistry
Treating cancer with microRNA replacement therapy: A literature review - Hosseinahli - 2018 - Journal of Cellular Physiology - Wiley Online Library
特表2019-533981 | 知財ポータル「IP Force」
Frontiers | Metaomics unveils the contribution of Alteromonas bacteria to carbon cycling in marine oxygen minimum zones
![A machine learning framework for the prediction of chromatin folding in Drosophila using epigenetic features [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2020/cs-307/1/fig-2-full.png "A machine learning framework for the prediction of chromatin folding in Drosophila using epigenetic features [PeerJ]")
A machine learning framework for the prediction of chromatin folding in Drosophila using epigenetic features [PeerJ]
![A machine learning framework for the prediction of chromatin folding in Drosophila using epigenetic features [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2020/cs-307/1/fig-4-full.png "A machine learning framework for the prediction of chromatin folding in Drosophila using epigenetic features [PeerJ]")
A machine learning framework for the prediction of chromatin folding in Drosophila using epigenetic features [PeerJ]
kids tables
特表2018-520657 | 知財ポータル「IP Force」
Sacie koše | Sací koš A-110 Superšport | PYROTEX, s.r.o.
特表2018-520657 | 知財ポータル「IP Force」
