Multi‐omics Analysis to Identify Key Immune Genes for Osteoporosis based on Machine Learning and Single‐cell Analysis

Neutrophils play a crucial role in the occurrence and development of osteoporosis. The four hub genes potentially inhibit metabolic activities and trigger inflammation by interacting with other immune cells, thereby significantly contributing to the onset and diagnosis of OP.

Authors

Institutions

Publication Details

Journal
Orthopaedic Surgery
Published
2024-09-05
DOI
https://doi.org/10.1111/os.14172
Citations
7
Primary Topic
Bone Metabolism and Diseases
Type
article
Field-Weighted Citation Impact
1.64

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi‐omics Analysis to Identify Key Immune Genes for Osteoporosis based on Machine Learning and Single‐cell Analysis

Jirigala Ariben, Chenyang Meng, Baoxin Zhang, Lina Wu et al.
7 citations
Orthopaedic Surgery
Bone Metabolism and Diseases
1.64
article

Multi‐omics Analysis to Identify Key Immune Genes for Osteoporosis based on Machine Learning and Single‐cell Analysis

Jirigala Ariben, Chenyang Meng, Baoxin Zhang, Lina Wu, Siqin Li, Wanxiong He, Zhenqun Zhao, Zhiwei Pei, Xiaolong Yang, Xing Wang, Xinlong Ma, Lina Wu, Ting Hao, Fei Xue, Feng Zheng, Aixian Tian, Chao Sun
article en
7 citations

Abstract

Neutrophils play a crucial role in the occurrence and development of osteoporosis. The four hub genes potentially inhibit metabolic activities and trigger inflammation by interacting with other immune cells, thereby significantly contributing to the onset and diagnosis of OP.

Orthopaedic SurgeryVol. 16(11)
Tianjin University (CN), Soochow University (CN), Second Affiliated Hospital of Inner Mongolia Medical University (CN), Tianjin People's Hospital (CN), Sanya Central Hospital (CN), Tianjin Hospital (CN), Tianjin Medical University Eye Hospital (CN), Qinghai Provincial Peoples Hospital (CN), Inner Mongolia Medical University (CN), Tianjin Medical University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Good health and well-being
Openalex Percentile: Top 16%
Bone Metabolism and Diseases
1.64
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.