Development of a Novel Mitochondrial Dysfunction-Related Alzheimer’s Disease Diagnostic Model Using Bioinformatics and Machine Learning

These findings delineate the intricate role of mitochondrial dysfunction in AD and highlight promising avenues for further exploration of biomarkers and therapeutic interventions in this devastating disease.

Authors

Institutions

Publication Details

Journal
Current Alzheimer Research
Published
2024-12-30
DOI
https://doi.org/10.2174/0115672050353736241218054012
Citations
4
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.94

Funders

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

Development of a Novel Mitochondrial Dysfunction-Related Alzheimer’s Disease Diagnostic Model Using Bioinformatics and Machine Learning

Gongchang Yu, Kai Yang, Bin Shi, Kuo Zhang
4 citations
Current Alzheimer Research
Bioinformatics and Genomic Networks
0.94
article

Development of a Novel Mitochondrial Dysfunction-Related Alzheimer’s Disease Diagnostic Model Using Bioinformatics and Machine Learning

Gongchang Yu, Kai Yang, Bin Shi, Kuo Zhang
article en
4 citations

Abstract

These findings delineate the intricate role of mitochondrial dysfunction in AD and highlight promising avenues for further exploration of biomarkers and therapeutic interventions in this devastating disease.

Current Alzheimer ResearchVol. 22(1)
Shandong University of Traditional Chinese Medicine (CN), Shandong First Medical University (CN)
National Natural Science Foundation of China, Major Scientific and Technological Innovation Project of Shandong Province
Openalex Percentile: Top 24%
Bioinformatics and Genomic Networks
0.94
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.