Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Zhengyun Zhao"'
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-14 (2023)
Abstract Retrieval-based Clinical Decision Support (ReCDS) can aid clinical workflow by providing relevant literature and similar patients for a given patient. However, the development of ReCDS systems has been severely obstructed by the lack of dive
Externí odkaz:
https://doaj.org/article/5c533b9b81b74373bf716705ef47a721
Autor:
Hesna Kara, Alexander Axer, Frederick W. Muskett, Carlos J. Bueno-Alejo, Vasileios Paschalis, Andrea Taladriz-Sender, Sumera Tubasum, Marina Santana Vega, Zhengyun Zhao, Alasdair W. Clark, Andrew J. Hudson, Ian C. Eperon, Glenn A. Burley, Cyril Dominguez
Publikováno v:
Frontiers in Molecular Biosciences, Vol 11 (2024)
Protein-RNA interactions are central to numerous cellular processes. In this work, we present an easy and straightforward NMR-based approach to determine the RNA binding site of RNA binding proteins and to evaluate the binding of pairs of proteins to
Externí odkaz:
https://doaj.org/article/2051e50dad5a4945b5af04fd03395abe
Autor:
Tayyaba Nisar, Muhammad Hammad Nadeem Tahir, Shahid Iqbal, Muhammad Sajjad, Muhammad Azhar Nadeem, Ghulam Qanmber, Ayesha Baig, Zulqurnain Khan, Zhengyun Zhao, Zhide Geng, Shoaib Ur Rehman
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Cysteine-rich poly comb-like protein (CPP) is a member of cysteine-rich transcription factors that regulates plant growth and development. In the present work, we characterized twelve CPP transcription factors encoding genes in soybean (Glycine max).
Externí odkaz:
https://doaj.org/article/3832eaadf07a4817a045c80648b3c0aa
Publikováno v:
ACS Omega. 7:40569-40577
In recent times, the importance of peptides in the biomedical domain has received increasing concern in terms of their effect on multiple disease treatments. However, before successful large-scale implementation in the industry, accurate identificati
Autor:
Kara, Hesna, Axer, Alexander, Muskett, Frederick W., Bueno-Alejo, Carlos J., Paschalis, Vasileios, Taladriz-Sender, Andrea, Tubasum, Sumera, Vega, Marina Santana, Zhengyun Zhao, Clark, Alasdair W., Hudson, Andrew J., Eperon, Ian C., Burley, Glenn A., Dominguez, Cyril
Publikováno v:
Frontiers in Molecular Biosciences; 2024, p1-9, 9p
Publikováno v:
Neural Processing Letters. 55:361-384
Publikováno v:
Applied Intelligence. 52:6208-6226
High-level semantic features and low-level detail features matter for salient object detection in fully convolutional neural networks (FCNs). Further integration of low-level and high-level features increases the ability to map salient object feature
Publikováno v:
Journal of Biomedical Informatics. 137:104266
Liver cancer is a common malignant tumor, and its clinical stage is closely related to the clinical treatment and prognosis of patients. Currently, the BCLC staging system revised by the BCLC group of University of Barcelona is the globally recognize
Publikováno v:
Journal of biomedical informatics. 126
This paper aims to propose knowledge-aware embedding, a critical tool for medical term normalization.We develop CODER (Cross-lingual knowledge-infused medical term embedding) via contrastive learning based on a medical knowledge graph (KG) named the
Publikováno v:
2021 4th International Conference on Intelligent Robotics and Control Engineering (IRCE).
The sewer system plays an import role in our life, it is applied to collect and dispose domestic wastewater and rainwater. Regular inspection is necessary for the normal operation of the pipeline. Existing pipeline defect detection technologies are m