Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Huilin Zheng"'
Autor:
Tianci Kong, Tiancheng Yu, Jiaxin Zhao, Zhenhua Hu, Neal Xiong, Jian Wan, Xiaoliang Dong, Yi Pan, Huilin Zheng, Lei Zhang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Single-cell RNA sequencing (scRNA-seq) is a key technology for investigating cell development and analysing cell diversity across various diseases. However, the high dimensionality and extreme sparsity of scRNA-seq data pose great challenges
Externí odkaz:
https://doaj.org/article/dd205984395948c1a7ea6ef443b21940
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
BackgroundClinical studies have demonstrated that microbes play a crucial role in human health and disease. The identification of microbe-disease interactions can provide insights into the pathogenesis and promote the diagnosis, treatment, and preven
Externí odkaz:
https://doaj.org/article/aefc077adabe4d7c82929b0454db2e02
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
Background and objectivesHypertension is one of the most serious risk factors and the leading cause of mortality in patients with cardiovascular diseases (CVDs). It is necessary to accurately predict the mortality of patients suffering from CVDs with
Externí odkaz:
https://doaj.org/article/d0b134e61f5d44078a77e706cc3992fe
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
Introduction: Stroke, of which ischemic stroke (IS) is the major type, is the second leading cause of disability and death worldwide. Circular RNAs (circRNAs) are reported to play important role in the physiology and pathology of IS. CircRNAs often a
Externí odkaz:
https://doaj.org/article/a82b4432b6744462bcc2fe3d17ec77ac
Autor:
Ying Wang, Mengwei Li, Lin Chen, Huan Bian, Xiangying Chen, Huilin Zheng, Peiwei Yang, Quan Chen, Hanmei Xu
Publikováno v:
Signal Transduction and Targeted Therapy, Vol 6, Iss 1, Pp 1-13 (2021)
Abstract Natural killer (NK) cells have been suggested to be associated with type 2 diabetes by regulating systemic inflammation. However, the mechanism by which NK cells regulate insulin sensitivity remains unknown. This study shows that NK-derived
Externí odkaz:
https://doaj.org/article/0b8ec293916940849994272d638a067b
Publikováno v:
IEEE Access, Vol 9, Pp 113692-113704 (2021)
The major adverse cardiovascular events (MACE) often occur with high morbidity and mortality globally. It is very important to predict the MACE occurrences accurately in patients with acute coronary syndrome (ACS). Therefore, this paper proposes a st
Externí odkaz:
https://doaj.org/article/dbe053003214423e9dee25b35277e127
Autor:
Jiarong Zhou, Linshi Zhang, Huilin Zheng, Wenhao Ge, Yu Huang, Yingcai Yan, Xiaohu Zhou, Wei Zhu, Yang Kong, Yuan Ding, Weilin Wang
Publikováno v:
Cancer Medicine, Vol 9, Iss 3, Pp 1115-1130 (2020)
Abstract Gemcitabine (GEM) alone and GEM‐based chemotherapy are the preferred regimens for treating advanced unresectable and metastatic pancreatic cancer (PC). However, these treatments have limited efficacy due to acquired resistance of cancer ce
Externí odkaz:
https://doaj.org/article/df25b615a550416794146ecdaeb94d30
Publikováno v:
Sensors, Vol 23, Iss 3, p 1351 (2023)
Nowadays, machine learning (ML) is a revolutionary and cutting-edge technology widely used in the medical domain and health informatics in the diagnosis and prognosis of cardiovascular diseases especially. Therefore, we propose a ML-based soft-voting
Externí odkaz:
https://doaj.org/article/2ae14626c9c9404696924bee2934db3d
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
Postoperative recurrence of liver cancer is the main obstacle to improving the survival rate of patients with liver cancer. We established an mRNA-based model to predict the risk of recurrence after hepatectomy for liver cancer and explored the relat
Externí odkaz:
https://doaj.org/article/8dd64a39a0b943719aebcae27bc9c4c7
Publikováno v:
Applied Sciences, Vol 12, Iss 20, p 10655 (2022)
Text data augmentation is essential in the field of medicine for the tasks of natural language processing (NLP). However, most of the traditional text data augmentation focuses on the English datasets, and there is little research on the Chinese data
Externí odkaz:
https://doaj.org/article/e9df3c7a122c49f3830c93c32e6e0c1f