214 related articles for article (PubMed ID: 37032823)
1. Construction and evaluation of Alzheimer's disease diagnostic prediction model based on genes involved in mitophagy.
Pei Y; Chen S; Zhou F; Xie T; Cao H
Front Aging Neurosci; 2023; 15():1146660. PubMed ID: 37032823
[TBL] [Abstract][Full Text] [Related]
2. Bioinformatics analysis and prediction of Alzheimer's disease and alcohol dependence based on Ferroptosis-related genes.
Tian M; Shen J; Qi Z; Feng Y; Fang P
Front Aging Neurosci; 2023; 15():1201142. PubMed ID: 37520121
[TBL] [Abstract][Full Text] [Related]
3. A Diagnostic Model for Alzheimer's Disease Based on Blood Levels of Autophagy-Related Genes.
Qin Q; Gu Z; Li F; Pan Y; Zhang T; Fang Y; Zhang L
Front Aging Neurosci; 2022; 14():881890. PubMed ID: 35645767
[TBL] [Abstract][Full Text] [Related]
4. Exploration of novel biomarkers in Alzheimer's disease based on four diagnostic models.
Zou C; Su L; Pan M; Chen L; Li H; Zou C; Xie J; Huang X; Lu M; Zou D
Front Aging Neurosci; 2023; 15():1079433. PubMed ID: 36875704
[TBL] [Abstract][Full Text] [Related]
5. Identification and prediction of m7G-related Alzheimer's disease subtypes: insights from immune infiltration and machine learning models.
Ma C; Li J; Chi Y; Sun X; Yang M; Sui X
Front Aging Neurosci; 2023; 15():1161068. PubMed ID: 37396662
[TBL] [Abstract][Full Text] [Related]
6. Development of a novel immune infiltration-related diagnostic model for Alzheimer's disease using bioinformatic strategies.
Zhuang X; Zhang G; Bao M; Jiang G; Wang H; Li S; Wang Z; Sun X
Front Immunol; 2023; 14():1147501. PubMed ID: 37545529
[TBL] [Abstract][Full Text] [Related]
7. Identification of diagnostic signatures associated with immune infiltration in Alzheimer's disease by integrating bioinformatic analysis and machine-learning strategies.
Tian Y; Lu Y; Cao Y; Dang C; Wang N; Tian K; Luo Q; Guo E; Luo S; Wang L; Li Q
Front Aging Neurosci; 2022; 14():919614. PubMed ID: 35966794
[TBL] [Abstract][Full Text] [Related]
8. Bioinformatics analysis of diagnostic biomarkers for Alzheimer's disease in peripheral blood based on sex differences and support vector machine algorithm.
Ji W; An K; Wang C; Wang S
Hereditas; 2022 Oct; 159(1):38. PubMed ID: 36195955
[TBL] [Abstract][Full Text] [Related]
9. Integrated bioinformatics-based identification of diagnostic markers in Alzheimer disease.
Chen D; Zhang Y; Qiao R; Kong X; Zhong H; Wang X; Zhu J; Li B
Front Aging Neurosci; 2022; 14():988143. PubMed ID: 36437991
[TBL] [Abstract][Full Text] [Related]
10. Identification of genes related to glucose metabolism and analysis of the immune characteristics in Alzheimer's disease.
Wang Y; Shen Z; Wu H; Yu Z; Wu X; Zhou L; Guo F
Brain Res; 2023 Nov; 1819():148545. PubMed ID: 37619853
[TBL] [Abstract][Full Text] [Related]
11. Identification of diagnostic genes for both Alzheimer's disease and Metabolic syndrome by the machine learning algorithm.
Li J; Zhang Y; Lu T; Liang R; Wu Z; Liu M; Qin L; Chen H; Yan X; Deng S; Zheng J; Liu Q
Front Immunol; 2022; 13():1037318. PubMed ID: 36405716
[TBL] [Abstract][Full Text] [Related]
12. Uncovering the Achilles heel of genetic heterogeneity: machine learning-based classification and immunological properties of necroptosis clusters in Alzheimer's disease.
Wei H; Wu C; Yuan Y; Lai L
Front Aging Neurosci; 2023; 15():1249682. PubMed ID: 37799623
[TBL] [Abstract][Full Text] [Related]
13. Identification of feature genes and pathways for Alzheimer's disease
Sun H; Yang J; Li X; Lyu Y; Xu Z; He H; Tong X; Ji T; Ding S; Zhou C; Han P; Zheng J
Front Comput Neurosci; 2022; 16():1001546. PubMed ID: 36213445
[TBL] [Abstract][Full Text] [Related]
14. A mitophagy-related gene signature associated with prognosis and immune microenvironment in colorectal cancer.
Zhang C; Zeng C; Xiong S; Zhao Z; Wu G
Sci Rep; 2022 Nov; 12(1):18688. PubMed ID: 36333388
[TBL] [Abstract][Full Text] [Related]
15. Six mitophagy-related hub genes as peripheral blood biomarkers of Alzheimer's disease and their immune cell infiltration correlation.
Zhao K; Wu Y; Zhao D; Zhang H; Lin J; Wang Y
Front Neurosci; 2023; 17():1125281. PubMed ID: 37274215
[TBL] [Abstract][Full Text] [Related]
16. A Study on Autophagy Related Biomarkers in Alzheimer's Disease Based on Bioinformatics.
Li J; Liu W; Sun W; Rao X; Chen X; Yu L
Cell Mol Neurobiol; 2023 Oct; 43(7):3693-3703. PubMed ID: 37418137
[TBL] [Abstract][Full Text] [Related]
17. Identification of endoplasmic reticulum stress-associated genes and subtypes for prediction of Alzheimer's disease based on interpretable machine learning.
Lai Y; Lin X; Lin C; Lin X; Chen Z; Zhang L
Front Pharmacol; 2022; 13():975774. PubMed ID: 36059957
[No Abstract] [Full Text] [Related]
18. Identification and validation of differentially expressed chromatin regulators for diagnosis of aortic dissection using integrated bioinformatics analysis and machine-learning algorithms.
Liu C; Zhou Y; Zhao D; Yu L; Zhou Y; Xu M; Tang L
Front Genet; 2022; 13():950613. PubMed ID: 36035141
[No Abstract] [Full Text] [Related]
19. Identification of diagnostic biomarkers in Alzheimer's disease by integrated bioinformatic analysis and machine learning strategies.
Jin B; Cheng X; Fei G; Sang S; Zhong C
Front Aging Neurosci; 2023; 15():1169620. PubMed ID: 37434738
[TBL] [Abstract][Full Text] [Related]
20. Construction and evaluation of endometriosis diagnostic prediction model and immune infiltration based on efferocytosis-related genes.
Pei FL; Jia JJ; Lin SH; Chen XX; Wu LZ; Lin ZX; Sun BW; Zeng C
Front Mol Biosci; 2023; 10():1298457. PubMed ID: 38370978
[No Abstract] [Full Text] [Related]
[Next] [New Search]
