Role of different types of RNA molecules in the severity prediction of SARS-CoV-2 patients-Reference-Cited by-同舟云学术

Role of different types of RNA molecules in the severity prediction of SARS-CoV-2 patients

Published:2023-02 Issue: Volume:242 Page:154311
ISSN:0344-0338
Container-title:Pathology - Research and Practice
language:en
Short-container-title:Pathology - Research and Practice

Author:

Jeyananthan Pratheeba^ORCID

Publisher

Elsevier BV

Subject

Cell Biology,Pathology and Forensic Medicine

Reference119 articles.

1. COVID-19 and toll-like receptor 4 (TLR4): SARS-CoV-2 may bind and activate TLR4 to Increase ACE2 expression, facilitating entry and causing hyperinflammation;Aboudounya;Mediat. Inflamm.,2021

2. Peripapillary nerve fiber layer thickness and optic nerve head parameters in patients recovered from COVID-19: a longitudinal study;Abrishami;J. Opthalmol.,2022

3. Identification of oligopeptides from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) non structural protein 8 (NSP8) and their similarities with type 1 angiotensin II receptor key sites;Achour;Biomed. Pharmacother.,2021

4. Epigenetic Landscape during Coronavirus Infection;Alexandra;Pathogens,2017

5. Genome-wide profiling reveals alternative polyadenylation of innate immune-related mRNA in patients With COVID-19;An;Front Immunol.,2021

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Soft computing techniques to predict the compressive strength of groundnut shell ash-blended concrete;Journal of Engineering and Applied Science;2023-11-06

2. Predicting compressive strength of cement-stabilized earth blocks using machine learning models incorporating cement content, ultrasonic pulse velocity, and electrical resistivity;Nondestructive Testing and Evaluation;2023-07-24

3. Soft computing techniques to predict the electrical resistivity of pervious concrete;Asian Journal of Civil Engineering;2023-07-17

4. Effect of aggregate size, aggregate to cement ratio and compaction energy on ultrasonic pulse velocity of pervious concrete: prediction by an analytical model and machine learning techniques;Asian Journal of Civil Engineering;2023-07-03

5. A mathematical model to predict the porosity and compressive strength of pervious concrete based on the aggregate size, aggregate-to-cement ratio and compaction effort;Asian Journal of Civil Engineering;2023-06-12