Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Shijia Yan"'
Autor:
Lei Sun, Arabella H. Wan, Shijia Yan, Ruonian Liu, Jiarui Li, Zhuolong Zhou, Ruirui Wu, Dongshi Chen, Xianzhang Bu, Jingxing Ou, Kai Li, Xiongbin Lu, Guohui Wan, Zunfu Ke
Publikováno v:
Acta Pharmaceutica Sinica B, Vol 14, Iss 1, Pp 223-240 (2024)
Lenvatinib, a second-generation multi-receptor tyrosine kinase inhibitor approved by the FDA for first-line treatment of advanced liver cancer, facing limitations due to drug resistance. Here, we applied a multidimensional, high-throughput screening
Externí odkaz:
https://doaj.org/article/6fd491e1a58a4961a1629f26aa3391ae
Autor:
Tingxuan Gu, Mengqiao Wang, Xiaorong Fu, Xueli Tian, Juanjuan Bi, Ning Lu, Chen Chen, Shijia Yan, Ang Li, Luyun Wang, Xiang Li, Kangdong Liu, Zigang Dong
Publikováno v:
Biomedicine & Pharmacotherapy, Vol 174, Iss , Pp 116603- (2024)
Novel strategies in intratumoral injection and emerging immunotherapies have heralded a new era of precise cancer treatments. The affinity of SARS-CoV-2 to ACE2 receptors, a feature which facilitates virulent human infection, is leveraged in this res
Externí odkaz:
https://doaj.org/article/aefbc0c62aaf49d9bb5c6b524f56288f
Publikováno v:
Genes, Vol 15, Iss 1, p 67 (2024)
Genome-wide association studies (GWAS) have successfully revealed many disease-associated genetic variants. For a case-control study, the adequate power of an association test can be achieved with a large sample size, although genotyping large sample
Externí odkaz:
https://doaj.org/article/c4313c4452344613b1c19adf749f978c
Autor:
Ziyi Zhu, Min Yee Teh, Zhenguo Wu, Madeleine Strom Glick, Shijia Yan, Maarten Hattink, Keren Bergman
Publikováno v:
APL Photonics, Vol 7, Iss 3, Pp 030901-030901-11 (2022)
The scaling trends of deep learning models and distributed training workloads are challenging network capacities in today’s datacenters and high-performance computing (HPC) systems. We propose a system architecture that leverages silicon photonic (
Externí odkaz:
https://doaj.org/article/b8502b22779e440b851746d4484e75c6
Publikováno v:
Genes, Vol 13, Iss 7, p 1120 (2022)
Recently, gene-based association studies have shown that integrating genome-wide association studies (GWAS) with expression quantitative trait locus (eQTL) data can boost statistical power and that the genetic liability of traits can be captured by p
Externí odkaz:
https://doaj.org/article/df4a63bf99c44e1c89b6bac8acbf120a
Publikováno v:
Frontiers in Pharmacology, Vol 11 (2020)
Externí odkaz:
https://doaj.org/article/eb4788745f97479c8933a0bf41635d58
Publikováno v:
Frontiers in Psychology, Vol 9 (2018)
Most empirical evidence supports the view that non-symbolic and symbolic representations are foundations for advanced mathematical ability. However, the detailed development trajectories of these two types of representations in childhood are not very
Externí odkaz:
https://doaj.org/article/3c529d7884e5472eb302b7e062c2aeba
Publikováno v:
Frontiers in Psychology, Vol 8 (2017)
The study aimed to examine the developmental trajectories of non-symbolic and symbolic addition capacities in children and the mapping ability between these two. We assessed 106 4- to 7-year-old children and found that 4-year-olds were able to do non
Externí odkaz:
https://doaj.org/article/0b5efb99992f422f80ab108f45e4e604
Autor:
Shijia Yan, Alice1 (AUTHOR) asyan@umd.edu, Jay Sehgal, Neil1 (AUTHOR)
Publikováno v:
Vaccine. Apr2024, Vol. 42 Issue 9, p2150-2154. 5p.
Publikováno v:
Genetic Epidemiology. 46:604-614
Over the past years, genome-wide association studies (GWAS) have generated a wealth of new information. Summary data from many GWAS are now publicly available, promoting the development of many statistical methods for association studies based on GWA