Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Shihao Bai"'
Autor:
Sheng Cheng, Yunhan Zou, Man Zhang, Shihao Bai, Kun Tao, Jiaoxiang Wu, Yi Shi, Yuelan Wu, Yinzhong Lu, Kunyan He, Peng Sun, Xianbin Su, Shangwei Hou, Bo Han
Publikováno v:
MedComm, Vol 4, Iss 5, Pp n/a-n/a (2023)
Abstract Uncontrolled and excessive progression of liver fibrosis is thought to be the prevalent pathophysiological cause of liver cirrhosis and hepatocellular cancer, and there are currently no effective antifibrotic therapeutic options available. I
Externí odkaz:
https://doaj.org/article/f89379aae27646eab47f8731d486c068
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Due to climate change, it is significant to explore the impact of rising temperatures on the distribution of Dendrolimus houi Lajonquiere (Lepidoptera) and its host plants, Pinus yunnanensis and Cryptomeria fortunei, and to simulate their suitable fu
Externí odkaz:
https://doaj.org/article/1093a9d4805342eb819f8f3f716da5eb
Publikováno v:
Ecology and Evolution, Vol 12, Iss 7, Pp n/a-n/a (2022)
Abstract Satyrium is an endangered and rare genus of plant that has various pharmacodynamic functions. In this study, optimized MaxEnt models were used in analyzing potential geographical distributions under current and future climatic conditions (th
Externí odkaz:
https://doaj.org/article/081e299b255b45c0b96da9208d6b3326
Autor:
Xianbin Su, Linan Zhao, Yi Shi, Rui Zhang, Qi Long, Shihao Bai, Qing Luo, Yingxin Lin, Xin Zou, Shila Ghazanfar, Kun Tao, Guoliang Yang, Lan Wang, Kun-Yan He, Xiaofang Cui, Jian He, Jiao-Xiang Wu, Bo Han, Bin Yan, Biao Deng, Na Wang, Xiaolin Li, Pengyi Yang, Shangwei Hou, Jielin Sun, Jean Y. H. Yang, Jinhong Chen, Ze-Guang Han
Publikováno v:
Journal of Hematology & Oncology, Vol 14, Iss 1, Pp 1-5 (2021)
Abstract Genetic heterogeneity of tumor is closely related to its clonal evolution, phenotypic diversity and treatment resistance, and such heterogeneity has only been characterized at single-cell sub-chromosomal scale in liver cancer. Here we recons
Externí odkaz:
https://doaj.org/article/db3fce4243ca4e5892da62ef0633e912
Autor:
Yingxia Zheng, Zheyi Chen, Yichao Han, Li Han, Xin Zou, Bingqian Zhou, Rui Hu, Jie Hao, Shihao Bai, Haibo Xiao, Wei Vivian Li, Alex Bueker, Yanhui Ma, Guohua Xie, Junyao Yang, Shiyu Chen, Hecheng Li, Jian Cao, Lisong Shen
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-17 (2020)
Understanding the tumour microenvironment is essential for the efficacy of immunotherapies. Here the authors describe the immune landscape in esophageal squamous cell carcinoma and suggest several immunosuppressive mechanisms, which upon targeting ma
Externí odkaz:
https://doaj.org/article/405b3da8d64045049b0e81729e15379b
Autor:
Chiayi Hsiao, Qingwei Fang, Shuyu Zheng, Peixiang He, Kairan Zhang, Yirui Hong, Yuncong Ran, Shiyu Sun, Zhixiang Liu, Zhihan Liang, Bozitao Zhong, Weiwen Wu, Ruoyu Xia, Shihao Bai, Kuan Yao, Yushu Wang, Lin He, Gang Ma
Publikováno v:
Journal of Bio-X Research, Vol 2, Iss 4, Pp 185-196 (2019)
Abstract. Navigation and recognition of disease lesions remain challenging during colorectal cancer diagnosis and treatment, given that the precision and capacity of using specific surface antigens as recognition sites are relatively lacking. Moreove
Externí odkaz:
https://doaj.org/article/5271655f0f7844f098c4ebe2aa8bb58d
Autor:
Jiaoxiang Wu, Yue Wang, Shihao Bai, Hanxiao Sun, Jie Zhang, Jie Shu, Yajie Wang, Meiyu Tan, Lida Zhou, Biao Huang, Qiuhui Pan, Huiming Sheng
Publikováno v:
International Journal of Medical Sciences. 20:267-277
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d883065215c31406d82db18975ab865b
https://doi.org/10.7150/ijms.79305
https://doi.org/10.7150/ijms.79305
Publikováno v:
IEEE Transactions on Multimedia. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::596e8254830116c2dfb1e798bf46d740
https://doi.org/10.1109/tmm.2023.3234368
https://doi.org/10.1109/tmm.2023.3234368
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 33:6652-6664
Few-shot learning, aiming to learn novel concepts from one or a few labeled examples, is an interesting and very challenging problem with many practical advantages. Existing few-shot methods usually utilize data of the same classes to train the featu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88747e499890d19e99e5506e37de9ca1
https://doi.org/10.1109/tnnls.2021.3082928
https://doi.org/10.1109/tnnls.2021.3082928
Autor:
Xianbin Su, Shihao Bai, Gangcai Xie, Yi Shi, Linan Zhao, Guoliang Yang, Futong Tian, Kun‐Yan He, Lan Wang, Xiaolin Li, Qi Long, Ze‐Guang Han
Publikováno v:
Annals of the New York Academy of Sciences. 1517:213-224
Tumor clonal structure is closely related to future progression, which has been mainly investigated as mutation abundance clustering in bulk samples. With relatively limited studies at single-cell resolution, a systematic comparison of the two approa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10d8de7f86c600b8b0fbb12dd92a3e3c
https://doi.org/10.1111/nyas.14897
https://doi.org/10.1111/nyas.14897