Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Yangjun Wu"'
Autor:
Chaohua Liu, Jiana Li, Fei Xu, Lihua Chen, Mengdong Ni, Jiangchun Wu, Haiyun Zhao, Yangjun Wu, Jiajia Li, Xiaohua Wu, Xiaojun Chen
Publikováno v:
Molecular Cancer, Vol 23, Iss 1, Pp 1-20 (2024)
Abstract Background Poly (ADP-ribose) polymerase inhibitor (PARPi) resistance poses a significant challenge in ovarian carcinoma (OC). While the role of DOT1L in cancer and chemoresistance is acknowledged, its specific role in PARPi resistance remain
Externí odkaz:
https://doaj.org/article/6d2f8d10c45f45449d7b246809694d05
Publikováno v:
Journal of Low Frequency Noise, Vibration and Active Control, Vol 43 (2024)
This paper investigates the modal parameter identification technique utilizing a drop impact load. A 12-DOF mathematical model of a Railway Vehicle System (RWVS) was constructed, followed by theoretical calculations, simulation analysis, and tests wi
Externí odkaz:
https://doaj.org/article/3fb7bfdc52c2439aa245bad5723bcd79
Autor:
Hao Wu, Yicheng Lu, Zhenzhen Duan, Jingni Wu, Minghui Lin, Yangjun Wu, Siyang Han, Tongqi Li, Yuqi Fan, Xiaoyuan Hu, Hongyan Xiao, Jiaxuan Feng, Zhiqian Lu, Deping Kong, Shengli Li
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-12 (2023)
Abstract Vascular smooth muscle cells (VSMCs) are the major contributor to vascular repair and remodeling, which showed high level of phenotypic plasticity. Abnormalities in VSMC plasticity can lead to multiple cardiovascular diseases, wherein altern
Externí odkaz:
https://doaj.org/article/064b123d9edf4b00af4aedf5da28da7f
Autor:
Wei Hu, Yangjun Wu, Qili Shi, Jingni Wu, Deping Kong, Xiaohua Wu, Xianghuo He, Teng Liu, Shengli Li
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-16 (2022)
Modification of transcribed mRNAs enables regulation of transcription but its extent in cancer cells is incompletely understood. Here, the authors analyse transcript assembly in over 1000 cancer cell lines and find unannotated transcripts are common,
Externí odkaz:
https://doaj.org/article/891ffee0878242f6b82805bb96ad7f69
Autor:
Zhikun Wu, Honghui Shang, Yangjun Wu, Zhongcheng Zhang, Ying Liu, Yuyang Zhang, Yucheng Ouyang, Huimin Cui, Xiaobing Feng
Publikováno v:
Frontiers in Chemistry, Vol 11 (2023)
Externí odkaz:
https://doaj.org/article/a3f642b4f47348b7bdaa2b6ca60ecdc8
Publikováno v:
Mathematics, Vol 12, Iss 3, p 433 (2024)
Neural network methods have shown promise for solving complex quantum many-body systems. In this study, we develop a novel approach through incorporating the density-matrix renormalization group (DMRG) method with the neural network quantum state met
Externí odkaz:
https://doaj.org/article/3e43c0ef60564e1dae8c6908aad0bec7
Autor:
Zhikun Wu, Honghui Shang, Yangjun Wu, Zhongcheng Zhang, Ying Liu, Yuyang Zhang, Yucheng Ouyang, Huimin Cui, Xiaobing Feng
Publikováno v:
Frontiers in Chemistry, Vol 11 (2023)
We have proposed, for the first time, an OpenCL implementation for the all-electron density-functional perturbation theory (DFPT) calculations in FHI-aims, which can effectively compute all its time-consuming simulation stages, i.e., the real-space i
Externí odkaz:
https://doaj.org/article/ecbbe98c68d642e780d38813bea06378
Autor:
Libin Song, Simin Qi, Wei Hu, Zhixiao Fang, Dehua Yu, Teng Liu, Jingni Wu, Yangjun Wu, Aiwei Wu, Lanyun Feng, Jing Xie, Bo Zhang, Wenguang He, Zhouyu Ning, Luming Liu, Jiang-Jiang Qin, Shengli Li
Publikováno v:
Molecular Therapy: Nucleic Acids, Vol 26, Iss , Pp 11-21 (2021)
Pancreatic cancer is a highly aggressive cancer with an exceedingly low rate of response to treatments, which calls for comprehensive molecular characterization of pancreatic cancer cell lines (PCCLs). We screened multi-layer molecular data of 36 PCC
Externí odkaz:
https://doaj.org/article/70a2d75d95c0438b84ce60d186e5791a
Publikováno v:
Cell Discovery, Vol 7, Iss 1, Pp 1-14 (2021)
Abstract PTEN is a crucial tumor suppressor and loss of PTEN protein is involved in various cancers. However, the detailed molecular mechanisms of PTEN loss in cancers remain elusive, especially the involvement of lncRNAs. Here, lncRNA RP11-295G20.2
Externí odkaz:
https://doaj.org/article/f2a7ab8a18494388928a86a836d7f5dc
Publikováno v:
Mathematics, Vol 11, Iss 6, p 1417 (2023)
The restricted Boltzmann machine (RBM) has recently been demonstrated as a useful tool to solve the quantum many-body problems. In this work we propose tanh-FCN, which is a single-layer fully connected neural network adapted from RBM, to study ab ini
Externí odkaz:
https://doaj.org/article/1c04ba2a9bf041ee983e5f346e39a23b