Identification of Intracranial Aneurysm Inflammatory Hub Genes by Machine Learning

P Dai, Q Lin, J Chen - 2022 - researchsquare.com
Rupture of intracranial aneurysm (IA) has a very high mortality and disability rate, so it is very
important to explore the mechanism of IA formation and to find potential drug therapy targets …

Bioinformatics analysis reveals potential biomarkers associated with the occurrence of intracranial aneurysms

C Zhao, Z Ma, J Shang, X Cui, J Liu, R Shi, S Wang… - Scientific Reports, 2022 - nature.com
To better understand the molecular mechanisms of intracranial aneurysm (IA) pathogenesis,
we used gene coexpression networks to identify hub genes and functional pathways …

Identifying the diagnostic value of inflammatory genes in intracranial aneurysms based on machine learning

M Zhou, Y Fu, RC Liang, YH Duan, XF Liu, J Luo… - 2023 - researchsquare.com
Background Intracranial aneurysm (IA) is a cerebrovascular disease that can be caused by a
variety of factors. Clinical trials have indicated that inflammation and inflammatory cells play …

Identification of hub genes associated with the pathogenesis of intracranial aneurysm via integrated bioinformatics analysis

A Zhong, N Ding, Y Zhou, G Yang, Z Peng… - … Journal of General …, 2021 - Taylor & Francis
Background At present, the pathogenesis of intracranial aneurysms (IA) remains unclear,
which significantly hinders the development of novel strategies for the clinical treatment. In …

Integrated transcriptional profiling analysis and immune-related risk model construction for intracranial aneurysm rupture

D Shan, X Guo, G Yang, Z He, R Zhao… - Frontiers in …, 2021 - frontiersin.org
Intracranial aneurysms (IAs) may cause lethal subarachnoid hemorrhage upon rupture, but
the molecular mechanisms are poorly understood. The aims of this study were to analyze …

Identification the immune related marker genes and transcription-factor network in ruptured cerebral aneurysms using bioinformatics analysis and machine-learning …

X Zhao, J Fu, C Lei, Z Wang, Z Jing - Biomedical Signal Processing and …, 2024 - Elsevier
Background As a high level of mortality and morbidity disease, ruptured cerebral aneurysms
(RCA) is the most common cause of intracranial hemorrhage. Methods The expression …

Identification of crucial genes in intracranial aneurysm based on weighted gene coexpression network analysis

X Zheng, C Xue, G Luo, Y Hu, W Luo, X Sun - Cancer Gene Therapy, 2015 - nature.com
The rupture of intracranial aneurysm (IA) is the leading cause for devastating subarachnoid
hemorrhage. This study aimed to investigate genes related to IA and potential diagnosis …

Construction and analysis of gene co-expression networks in intracranial aneurysm

B Liao, FK Zhou, SX Zhong, YF Zhou, YS Qin… - Zhonghua yi xue za …, 2019 - europepmc.org
Objective: To analyze the expression microarray data in the public databases of intracranial
aneurysms (IA) using bioinformatics, and to provide important information for the study of …

Analysis of key genes and immune infiltration in ruptured intracranial aneurysms based on artificial neural networks and bioinformatics

Q Jia, WH Shi, XJ Lu, SQ Sun, JJ Shao, QF Huang - 2022 - researchsquare.com
Background: Intracranial aneurysm (IA) is a potentially devastating cerebrovascular disease,
and its rupture leads to subarachnoid hemorrhage with high mortality and disability rates …

Integrated analysis of C3AR1 and CD163 associated with immune infiltration in intracranial aneurysms pathogenesis

S Li, J Xiao, Z Yu, J Li, H Shang, L Zhang - Heliyon, 2023 - cell.com
Background To identify potential immune-related biomarkers, molecular mechanism, and
therapeutic agents of intracranial aneurysms (IAs). Methods We identified the differentially …