Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Guanxing, Chen"'
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-10 (2024)
Abstract Measurement techniques often result in domain gaps among batches of cellular data from a specific modality. The effectiveness of cross-batch annotation methods is influenced by inductive bias, which refers to a set of assumptions that descri
Externí odkaz:
https://doaj.org/article/9896a52e9c4c4caf9ae7fc54eecfb257
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Heterogeneous feature spaces and technical noise hinder the cellular data integration and imputation. The high cost of obtaining matched data across modalities further restricts analysis. Thus, there’s a critical need for deep learning app
Externí odkaz:
https://doaj.org/article/b703674671ed48bbaab75d65869ccdd1
Autor:
Haohuai He, Bing He, Lei Guan, Yu Zhao, Feng Jiang, Guanxing Chen, Qingge Zhu, Calvin Yu-Chian Chen, Ting Li, Jianhua Yao
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract Artificial Intelligence (AI) techniques have made great advances in assisting antibody design. However, antibody design still heavily relies on isolating antigen-specific antibodies from serum, which is a resource-intensive and time-consumin
Externí odkaz:
https://doaj.org/article/2edee7142e52406ba5b3dcb054681403
Publikováno v:
Tehnički Vjesnik, Vol 31, Iss 4, Pp 1079-1086 (2024)
Seismic damage shows that the out-of-plane collapse of unreinforced masonry walls is very common. Especially in the teaching buildings, the out-of-plane collapse of the longitudinal load-bearing walls leads to the disproportionate collapse of the bui
Externí odkaz:
https://doaj.org/article/7127f78f2b8741cd8491e6eda2c1abd4
Publikováno v:
ACS Omega, Vol 9, Iss 5, Pp 5985-5994 (2024)
Externí odkaz:
https://doaj.org/article/034e6ca3edf84b9d8ad4766b304890ba
Autor:
Haoyuan Yu, Xijing Yan, Guanxing Chen, Rong Li, Zhou Yang, Zhixing Liang, Linsen Ye, Yunhao Chen, Yang Li
Publikováno v:
Biomolecules & Biomedicine (2024)
Identifying the precise moment before the onset of hepatocellular carcinoma (HCC) remains a significant challenge in the medical field. The existing biomarkers fall short of pinpointing the critical point preceding HCC formation. This study aimed to
Externí odkaz:
https://doaj.org/article/3c9e528e596843b496ffce597f531564
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 3, Pp n/a-n/a (2024)
Colorectal cancer (CRC), a leading cause of cancer‐related deaths globally, demands innovative therapeutic strategies to improve patient outcomes. Drug repurposing, identifying new uses for existing drugs, provides a cost‐effective solution. To t
Externí odkaz:
https://doaj.org/article/13f799c1ec1f407688a5c2cb569bd5cb
Publikováno v:
Signal Transduction and Targeted Therapy, Vol 8, Iss 1, Pp 1-3 (2023)
Externí odkaz:
https://doaj.org/article/480af78640c14bc1ab4b3f58421fdafa
Publikováno v:
Frontiers in Molecular Biosciences, Vol 10 (2023)
Alzheimer’s disease (AD) is a neurodegenerative disease that primarily affects elderly individuals. Recent studies have found that sigma-1 receptor (S1R) agonists can maintain endoplasmic reticulum stress homeostasis, reduce neuronal apoptosis, and
Externí odkaz:
https://doaj.org/article/35ec704a69354c169be85c0ff85ca84e
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-9
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2425951af6f652001e4d553fd6d9abeb
https://doi.org/10.1109/tnnls.2023.3242656
https://doi.org/10.1109/tnnls.2023.3242656