Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Kaili, Liao"'
Autor:
Kaili Liao, Jinting Cheng, Yujie Hu, Beining Zhang, Peng Huang, Jie Liu, Wenyige Zhang, Huan Hu, Xinyi Bai, Yihui Qian, Daixin Guo, Kun Ai, Yuchen Zhu, Long Huang
Publikováno v:
Cancer Medicine, Vol 13, Iss 19, Pp n/a-n/a (2024)
Abstract Introduction An increasing body of evidence suggests a close association between COVID‐19 infection and the safety of PD‐1/PD‐L1 inhibitor therapy in cancer patients. However, the available data concerning these impacts remain limited
Externí odkaz:
https://doaj.org/article/16380ea526be4809ab7dfd0e72330845
Autor:
Qijun Yang, Lianke Gao, Yuhan Xu, Gaoquan Cao, Yingcheng He, Wenyige Zhang, Xue Zhang, Chengfeng Wu, Kaili Liao, Xiaozhong Wang
Publikováno v:
Genes and Diseases, Vol 11, Iss 2, Pp 520-523 (2024)
Externí odkaz:
https://doaj.org/article/07c542641d664c29a5781774db454883
Autor:
Kaili Liao, Yuhan Xu, Bingying Lin, Yuxuan Xie, Qijun Yang, Wenyige Zhang, Beining Zhang, Jiarong Wen, Jingyi Wang, Zimeng Li, Yunqi Cheng, Xiaozhong Wang
Publikováno v:
Genes and Diseases, Vol 11, Iss 4, Pp 101141- (2024)
Externí odkaz:
https://doaj.org/article/c7f5a37a68b042c4b1c18a805ca51dc9
Publikováno v:
ACS Omega, Vol 9, Iss 3, Pp 4085-4095 (2024)
Externí odkaz:
https://doaj.org/article/7d572b81427b42469ab48bb6980fa9ad
Publikováno v:
Genes and Diseases, Vol 10, Iss 5, Pp 2109-2124 (2023)
This study aims to identify the inflammatory factor-related genes which help to predict the prognosis of patients with colorectal cancer. GSEA (Gene Set Enrichment Analysis) was used to acquire inflammation-related genes and the corresponding express
Externí odkaz:
https://doaj.org/article/b8e339c0e9aa42688aaf7fa88bfabee8
Autor:
Yuqing Sun, Kaili Liao
Publikováno v:
Systems Science & Control Engineering, Vol 11, Iss 1 (2023)
In this paper, a novel ensemble learning model named EWT-EnsemLSTM-SSA, which assembles long short-term memory (LSTM), support vector regression (SVR), and sparrow search algorithm (SSA), is a proposed to deal with long term metro passenger flow volu
Externí odkaz:
https://doaj.org/article/bf553c8ed2a1453a897ee70ed5fdc43b
Autor:
Kaili Liao, Xue Zhang, Jie Liu, Feifei Teng, Yingcheng He, Jinting Cheng, Qijun Yang, Wenyige Zhang, Yuxuan Xie, Daixin Guo, Gaoquan Cao, Yanmei Xu, Bo Huang, Xiaozhong Wang
Publikováno v:
MedComm, Vol 4, Iss 5, Pp n/a-n/a (2023)
Abstract Platelets are a class of pluripotent cells that, in addition to hemostasis and maintaining vascular endothelial integrity, are also involved in tumor growth and distant metastasis. The tumor microenvironment is a complex and comprehensive sy
Externí odkaz:
https://doaj.org/article/07e64c8fd97f4bb18cfd1ab9d0d959d9
Autor:
Kaili Liao, Wuneng Zhou
Publikováno v:
IEEE Access, Vol 11, Pp 92188-92199 (2023)
Metro passenger volume prediction is an incredibly significant issue when it comes to traffic flow prediction problems. The accurate prediction of passenger flow is not only beneficial but necessary to adjust public transportation systems. As such, m
Externí odkaz:
https://doaj.org/article/6df65c49c2a3497b89be04f0e098ae74
Autor:
Kaili Liao, Jingyi Wang, Zimeng Li, Yuqiu Li, Yunqi Cheng, Yingcheng He, Hongping Wan, Xiaozhong Wang
Publikováno v:
Genes and Diseases, Vol 10, Iss 2, Pp 393-395 (2023)
Externí odkaz:
https://doaj.org/article/cfa2ef1db2dd4ce2b4371fc84ffc0b7f
Autor:
Jialing Hu, Kaili Liao, Xiaojin Feng, Danling Jiang, Hailin Liu, Qingcui Zheng, Hai Qiu, Fuzhou Hua, Guohai Xu, Chunhua Xu
Publikováno v:
BMC Infectious Diseases, Vol 22, Iss 1, Pp 1-8 (2022)
Abstract Background The incidence of sparganosis, especially intracranial live sparganosis is very low in China. Due to the lack of typical clinical manifestations, it is difficult to make a clear preoperative diagnosis of the disease, which often le
Externí odkaz:
https://doaj.org/article/c4ad090696824415b263191b6059d507