Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mengcheng Yao"'
Autor:
Xiaodong Wang, Xiangrui Gao, Xuezhe Fan, Zhe Huai, Genwei Zhang, Mengcheng Yao, Tianyuan Wang, Xiaolu Huang, Lipeng Lai
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 2122-2131 (2024)
B-cell epitope identification plays a vital role in the development of vaccines, therapies, and diagnostic tools. Currently, molecular docking tools in B-cell epitope prediction are heavily influenced by empirical parameters and require significant c
Externí odkaz:
https://doaj.org/article/35e0600152f54379b34253ae74639f5a
Autor:
Qingshan Wang, Minmin Jiang, Dakuo Feng, Hailu Lu, Mengcheng Yao, Anlun Yang, Meng Cao, Zhongyang Ma
Publikováno v:
Buildings, Vol 14, Iss 9, p 2618 (2024)
The excavation of pits will induce the vertical displacement of tunnels and lead to engineering problems. The shape as well as size of a pit, and the complex spatial position relationship between the pit and tunnel will induce different deformation r
Externí odkaz:
https://doaj.org/article/6cde26ea3cdf433abd2b41d73e3c7e13
Single‐cell transcriptomics identify TNFRSF1B as a novel T‐cell exhaustion marker for ovarian cancer
Autor:
Yan Gao, Hui Shi, Hongyu Zhao, Mengcheng Yao, Yue He, Mei Jiang, Jie Li, Zhefeng Li, Shaofei Su, Tao Liu, Chenghong Yin, Xuebin Liao, Wentao Yue
Publikováno v:
Clinical and Translational Medicine, Vol 13, Iss 9, Pp n/a-n/a (2023)
Abstract Background: Ovarian cancer (OC) patients routinely show poor immunotherapeutic response due to the complex tumour microenvironment (TME). It is urgent to explore new immunotherapeutic markers. Methods: Through the single‐cell RNA sequencin
Externí odkaz:
https://doaj.org/article/55e83b2aec234c0d8fcd541fb5a411b1
Autor:
Xiangrui Gao, Xueyu Guo, Fan Zhang, Mengcheng Yao, Xiaoxiao Wang, Dong Chen, Xiaodong Wang, Lipeng Lai
High-content analysis (HCA) holds enormous potential for drug discovery and research, but widely used methods can be cumbersome and yield inaccurate results. Noise and high similarity in cell images impede the accuracy of deep learning-based image an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0c3a9a30d3828d7051aa627e7a3d540
https://doi.org/10.1101/2023.04.10.536183
https://doi.org/10.1101/2023.04.10.536183
Autor:
Xiaodong Wang, Xiangrui Gao, Xuezhe Fan, Zhe Huai, Mengcheng Yao, Tianyuan Wang, Xiaolu Huang, Lipeng Lai
Proteins are one of the most important components in life, and the research on protein complex and the development of protein or antibody drugs relies on effective representation of proteins. Both experimental methods like cryo-electron microscopy an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e88c30ee09f4672cce79141d053fd84
https://doi.org/10.1101/2022.12.22.521634
https://doi.org/10.1101/2022.12.22.521634
Autor:
Man Luo, Yulian Wu, Deshun Shi, Shaoqian Zhu, Qin Liangshan, Mengcheng Yao, Mengmei Li, Guodong Wang, Liu Quanhui, Lei Zhou, Xiaobo Li, Danwei Lv, Yafei Jiao, Ben Huang, Lanyu Li, Dandan Zhang, Longfei Sun, Sheng Ye, Jiawen Ma, Surui Pei, Shulin Liu, Yanan Hu
Publikováno v:
Biomaterials. 277:121075
In somatic cell reprogramming, cells must escape the somatic cell-specific gene expression program to adopt other cell fates. Here, in vitro chemical induction with RepSox generated chemically induced mammary epithelial cells (CiMECs) with milk secre
Publikováno v:
ICASSP
Deep neural network (DNN) has a wide range of applications in various fields, including solving sparse inverse problems. In this paper, we propose a novel network called the Stein’s unbiased risk estimate based-trainable iterative thresholding algo
Autor:
Yuhui Lin, Mengcheng Yao, Haiyin Wu, Feng Wu, Shiying Cao, Huanyu Ni, Jian Dong, Di Yang, Yanyu Sun, Xiaolin Kou, Jun Li, Hui Xiao, Lei Chang, Jin Wu, Yan Liu, Chunxia Luo, Dongya Zhu
Publikováno v:
Theranostics; 2021, Vol. 11 Issue 8, p3760-3780, 21p