Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Zhixiang Lin"'
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-3 (2024)
Externí odkaz:
https://doaj.org/article/151168a10a1c4949b8152939a79dfbe9
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-28 (2024)
Abstract The rapid rise in the availability and scale of scRNA-seq data needs scalable methods for integrative analysis. Though many methods for data integration have been developed, few focus on understanding the heterogeneous effects of biological
Externí odkaz:
https://doaj.org/article/0889d799a683416d9100d64706102ede
Publikováno v:
iEnergy, Vol 3, Iss 2, Pp 115-124 (2024)
Accurate prediction of electric vehicle (EV) charging loads is a foundational step in the establishment of expressway charging infrastructures. This study introduces an approach to enhance the precision of expressway EV charging load predictions. The
Externí odkaz:
https://doaj.org/article/7712ecd5e8744b66a471b45dd8d5129b
Autor:
Zebin Wu, Wenming Li, Kunlong Jiang, Zhixiang Lin, Chen Qian, Mingzhou Wu, Yu Xia, Ning Li, Hongtao Zhang, Haixiang Xiao, Jiaxiang Bai, Dechun Geng
Publikováno v:
MedComm, Vol 5, Iss 8, Pp n/a-n/a (2024)
Abstract As a highly dynamic tissue, bone is continuously rebuilt throughout life. Both bone formation by osteoblasts and bone resorption by osteoclasts constitute bone reconstruction homeostasis. The equilibrium of bone homeostasis is governed by ma
Externí odkaz:
https://doaj.org/article/483fcc0a12aa4d3aa9c567b8c2dec7db
Publikováno v:
PLoS Genetics, Vol 20, Iss 3, p e1011189 (2024)
RNA sequencing (RNA-Seq) is widely used to capture transcriptome dynamics across tissues, biological entities, and conditions. Currently, few or no methods can handle multiple biological variables (e.g., tissues/ phenotypes) and their interactions si
Externí odkaz:
https://doaj.org/article/beb92df878f04a8dbc0203be45f87760
Autor:
Xiaomeng Wan, Jiashun Xiao, Sindy Sing Ting Tam, Mingxuan Cai, Ryohichi Sugimura, Yang Wang, Xiang Wan, Zhixiang Lin, Angela Ruohao Wu, Can Yang
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-22 (2023)
Abstract The rapid emergence of spatial transcriptomics (ST) technologies is revolutionizing our understanding of tissue spatial architecture and biology. Although current ST methods, whether based on next-generation sequencing (seq-based approaches)
Externí odkaz:
https://doaj.org/article/419c5180597e49ff9e56e2578131cfc9
Crosstalk between Lipid Metabolism and Bone Homeostasis: Exploring Intricate Signaling Relationships
Autor:
Haixiang Xiao, Wenming Li, Yi Qin, Zhixiang Lin, Chen Qian, Mingzhou Wu, Yu Xia, Jiaxiang Bai, Dechun Geng
Publikováno v:
Research, Vol 7 (2024)
Bone is a dynamic tissue reshaped by constant bone formation and bone resorption to maintain its function. The skeletal system accounts for approximately 70% of the total volume of the body, and continuous bone remodeling requires quantities of energ
Externí odkaz:
https://doaj.org/article/17a5541fe3504edb98747fbdfc8e4dcc
Autor:
Honghua Bai, Haitao Lin, Bhupendra Singh Chauhan, A.M. Amer, Mohamed Fayed, Hamdi Ayed, Abir Mouldi, Ahmed Farouk Deifalla, Zhixiang Lin, Nguyen Truong
Publikováno v:
Case Studies in Thermal Engineering, Vol 52, Iss , Pp 103695- (2023)
The reliable supply of electricity and potable water has crucial importance on achieving higher level of human welfare, where the primary energy source to provide these requirements is fossil fuels at present. Since the combustion of fossil fuels has
Externí odkaz:
https://doaj.org/article/47ec20cedbb945e38f350600353a3c50
Publikováno v:
Mathematics, Vol 11, Iss 19, p 4067 (2023)
Currently, there are few systematic position control parameter optimization methods for planar switched reluctance motors (PSRMs); how to effectively optimize the control parameters of PSRMs is one of the critical issues that needs to be urgently sol
Externí odkaz:
https://doaj.org/article/3c90d3c336234c54b21f9b67ee385f17
Autor:
Wenyu Zhang, Zhixiang Lin
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
Single-cell multiomics technologies, where the transcriptomic and epigenomic profiles are simultaneously measured in the same set of single cells, pose significant challenges for effective integrative analysis. Here, we propose an unsupervised genera
Externí odkaz:
https://doaj.org/article/a923c76bb42c4e49be15363c3819c039