Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Pei Xing Li"'
Autor:
Kang-Bo Huang, Cheng-Peng Gui, Yun-Ze Xu, Xue-Song Li, Hong-Wei Zhao, Jia-Zheng Cao, Yu-Hang Chen, Yi-Hui Pan, Bing Liao, Yun Cao, Xin-Ke Zhang, Hui Han, Fang-Jian Zhou, Ran-Yi Liu, Wen-Fang Chen, Ze-Ying Jiang, Zi-Hao Feng, Fu-Neng Jiang, Yan-Fei Yu, Sheng-Wei Xiong, Guan-Peng Han, Qi Tang, Kui Ouyang, Gui-Mei Qu, Ji-Tao Wu, Ming Cao, Bai-Jun Dong, Yi-Ran Huang, Jin Zhang, Cai-Xia Li, Pei-Xing Li, Wei Chen, Wei-De Zhong, Jian-Ping Guo, Zhi-Ping Liu, Jer-Tsong Hsieh, Dan Xie, Mu-Yan Cai, Wei Xue, Jin-Huan Wei, Jun-Hang Luo
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Integrating genomics and histology for cancer prognosis demonstrates promise. Here, we develop a multi-classifier system integrating a lncRNA-based classifier, a deep learning whole-slide-image-based classifier, and a clinicopathological cla
Externí odkaz:
https://doaj.org/article/c0dc0f9c92514591b5800e5499188a06
Autor:
Cheng-Peng Gui, MD, Yu-Hang Chen, MD, Hong-Wei Zhao, ProfMD, Jia-Zheng Cao, ProfMD, Tian-Jie Liu, PhD, Sheng-Wei Xiong, MD, Yan-Fei Yu, MD, Bing Liao, ProfMD, Yun Cao, ProfMD, Jia-Ying Li, MD, Kang-Bo Huang, MD, Hui Han, ProfMD, Zhi-Ling Zhang, ProfMD, Wen-Fang Chen, ProfMD, Ze-Ying Jiang, MD, Ye Gao, ProfMD, Guan-Peng Han, MD, Qi Tang, MD, Kui Ouyang, BS, Gui-Mei Qu, ProfMD, Ji-Tao Wu, ProfMD, Jian-Ping Guo, ProfPhD, Cai-Xia Li, ProfPhD, Pei-Xing Li, ProfPhD, Zhi-Ping Liu, ProfPhD, Jer-Tsong Hsieh, ProfPhD, Mu-Yan Cai, ProfMD, Xue-Song Li, ProfMD, Jin-Huan Wei, ProfMD, Jun-Hang Luo, ProfMD
Publikováno v:
The Lancet: Digital Health, Vol 5, Iss 8, Pp e515-e524 (2023)
Summary: Background: Improved markers for predicting recurrence are needed to stratify patients with localised (stage I–III) renal cell carcinoma after surgery for selection of adjuvant therapy. We developed a novel assay integrating three modaliti
Externí odkaz:
https://doaj.org/article/5b0d4e522fb9448291c0526ae8c7c8a7
Publikováno v:
In International Journal of Mass Spectrometry September 2020 455
Publikováno v:
In International Journal of Mass Spectrometry August 2018 431:56-62
Publikováno v:
In Chinese Journal of Analytical Chemistry August 2017 45(8):1155-1163
Autor:
Shan-Ce Niu, Jie Huang, Yong-Qiang Zhang, Pei-Xing Li, Guo-Qiang Zhang, Qing Xu, Li-Jun Chen, Jie-Yu Wang, Yi-Bo Luo, Zhong-Jian Liu
Publikováno v:
Frontiers in Plant Science, Vol 8 (2017)
Self-incompatibility (SI) is found in approximately 40% of flowering plant species and at least 100 families. Although orchids belong to the largest angiosperm family, only 10% of orchid species present SI and have gametophytic SI (GSI). Furthermore,
Externí odkaz:
https://doaj.org/article/669c9e0a1a944379aa0bf81ccdcbb2af
Autor:
Fang Jian Zhou, Bo Li, Ji Tao Wu, Shaogang Wang, Jin Huan Wei, Dan Xie, Bing Liao, Jin Zhang, Yi Hui Pan, Yun Cao, Guo-Ping Wang, Zhen Li Gao, Zhi Ling Zhang, Gui Mei Qu, Zhi Ping Liu, Yunze Xu, Wei Chen, Cong Liu, Zhen Hua Chen, Pei Xing Li, Cai Xia Li, Hui Han, Jun Lu, Qiang Liu, Lei Shi, Jun Hang Luo, Hong Wei Zhao, Wei Xue, Wen Fang Chen, Yi Ran Huang, Qing Wang, Hao Hua Yao, Zi Hao Feng
Publikováno v:
The Lancet Oncology. 20:591-600
Summary Background Identification of high-risk localised renal cell carcinoma is key for the selection of patients for adjuvant treatment who are at truly higher risk of reccurrence. We developed a classifier based on single-nucleotide polymorphisms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b80697c42185f8f74af333370f860049
https://doi.org/10.1016/s1470-2045(18)30932-x
https://doi.org/10.1016/s1470-2045(18)30932-x
Publikováno v:
The Lancet. Oncology. 20(6)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9fb6a371255ef2ba364fd9fea133ff6
https://pubmed.ncbi.nlm.nih.gov/31162094
https://pubmed.ncbi.nlm.nih.gov/31162094
Publikováno v:
Tropical Journal of Pharmaceutical Research. Sep2016, Vol. 15 Issue 9, p1889-1896. 8p. 2 Color Photographs, 1 Chart, 3 Graphs.
Autor:
Wu Jiang, Zhizhong Pan, Yu Jing Fang, Pei Xing Li, Caixia Li, De Sen Wan, Zhen Hai Lu, Jianhong Peng, Qing Jian Ou, Rong Xin Zhang, Shi Xun Lu, Jing Ping Yun
Publikováno v:
Oncotarget
Nearly 20% patients with stage II A colon cancer will develop recurrent disease post-operatively. The present study aims to develop a scoring system based on Artificial Neural Network (ANN) model for predicting 10-year survival outcome. The clinical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c015768e784164b3a6d1b8da4ae996e3
http://europepmc.org/articles/PMC5008413
http://europepmc.org/articles/PMC5008413