| |
original article |
Date |
Title |
Authors Max. 6 Authors |
| 1 |
[GO] |
2024―Oct―30 |
Developing a machine learning model with enhanced performance for predicting COVID-19 from patients presenting to the emergency room with acute respiratory symptoms |
Maha Mesfer Alghamdi, Naael H. Alazwary, Waleed A. Alsowayan, Mohmmed Algamdi, Ahmed F. Alohali, Mustafa A. Yasawy, Abeer M. Alghamdi, Abdullah M. Alassaf, Mohammed R. Alshehri, Hussein A. Aljaziri, Nujoud H. Almoqati, Shatha S. Alghamdi, Norah A. Bin Magbel, Tareq A. AlMazeedi, Nashaat K. Neyazi, Mona M. Alghamdi, Mohammed N. Alazwary |
| 2 |
[GO] |
2023―Oct―12 |
Bioinformatics approach to identify the hub gene associated with COVID-19 and idiopathic pulmonary fibrosis |
Wenchao Shi, Tinghui Li, Huiwen Li, Juan Ren, Meiyu Lv, Qi Wang, Yaowu He, Yao Yu, Lijie Liu, Shoude Jin, Hong Chen |
| 3 |
[GO] |
2023―Oct―12 |
Identification of toll-like receptor 5 and acyl-CoA synthetase long chain family member 1 as hub genes are correlated with the severe forms of COVID-19 by Weighted gene co-expression network analysis |
Luoyi Wang, Zhaomin Mao, Fengmin Shao |
| 4 |
[GO] |
2021―Aug―05 |
Comprehensive investigation of RNA-sequencing dataset reveals the hub genes and molecular mechanisms of coronavirus disease 2019 acute respiratory distress syndrome |
Wangsheng Deng, Jiaxing Zeng, Shunyu Lu, Chaoqian Li |
|
