237 related articles for article (PubMed ID: 37235790)
1. Key Risk Genes Identified From the Postmortem Brain of Patients With Major Depressive Disorder and Their Potential Clinical Applications.
Zhuang Q; Wang J; Li X; Zhang X; Wang Y
Int J Neuropsychopharmacol; 2023 Jun; 26(6):396-411. PubMed ID: 37235790
[TBL] [Abstract][Full Text] [Related]
2. Identification of key genes and crucial pathways for major depressive disorder using peripheral blood samples and chronic unpredictable mild stress rat models.
He J; Ren Z; Xia W; Zhou C; Bi B; Yu W; Zuo L
PeerJ; 2021; 9():e11694. PubMed ID: 34414022
[TBL] [Abstract][Full Text] [Related]
3. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
[TBL] [Abstract][Full Text] [Related]
4. Exploration of the pathogenesis of Sjögren's syndrome via DNA methylation and transcriptome analyses.
Du Y; Li J; Wu J; Zeng F; He C
Clin Rheumatol; 2022 Sep; 41(9):2765-2777. PubMed ID: 35562622
[TBL] [Abstract][Full Text] [Related]
5. Analysis of Differentially Expressed Genes in the Dentate Gyrus and Anterior Cingulate Cortex in a Mouse Model of Depression.
Wei Y; Qi K; Yu Y; Lu W; Xu W; Yang C; Lin Y
Biomed Res Int; 2021; 2021():5013565. PubMed ID: 33628784
[TBL] [Abstract][Full Text] [Related]
6. Genetic association between major depressive disorder and type 2 diabetes mellitus: Shared pathways and protein networks.
Liu D; McIntyre RS; Li R; Yang M; Xue Y; Cao B
Prog Neuropsychopharmacol Biol Psychiatry; 2021 Dec; 111():110339. PubMed ID: 33915220
[TBL] [Abstract][Full Text] [Related]
7. Identification of Hub Genes Related to Alzheimer's Disease and Major Depressive Disorder.
Cheng Y; Sun M; Wang F; Geng X; Wang F
Am J Alzheimers Dis Other Demen; 2021; 36():15333175211046123. PubMed ID: 34732058
[TBL] [Abstract][Full Text] [Related]
8. Seeking for potential pathogenic genes of major depressive disorder in the Gene Expression Omnibus database.
Feng J; Zhou Q; Gao W; Wu Y; Mu R
Asia Pac Psychiatry; 2020 Mar; 12(1):e12379. PubMed ID: 31889427
[TBL] [Abstract][Full Text] [Related]
9. Bioinformatics analyses of gene expression profile identify key genes and functional pathways involved in cutaneous lupus erythematosus.
Gao ZY; Su LC; Wu QC; Sheng JE; Wang YL; Dai YF; Chen AP; He SS; Huang X; Yan GQ
Clin Rheumatol; 2022 Feb; 41(2):437-452. PubMed ID: 34553293
[TBL] [Abstract][Full Text] [Related]
10. Integrated microarray analysis to identify potential biomarkers and therapeutic targets in dilated cardiomyopathy.
Zhang H; Huo J; Jiang W; Shan Q
Mol Med Rep; 2020 Aug; 22(2):915-925. PubMed ID: 32626989
[TBL] [Abstract][Full Text] [Related]
11. Bioinformatics analysis identifies potential hub genes and crucial pathways in the pathogenesis of asthenozoospermia.
Zou C; Xu S; Geng H; Li E; Sun W; Yu D
BMC Med Genomics; 2022 Dec; 15(1):252. PubMed ID: 36471356
[TBL] [Abstract][Full Text] [Related]
12. Bioinformatics Analysis of Potential Biomarkers and Pathway Identification for Major Depressive Disorder.
Qi D; Chen K
Comput Math Methods Med; 2021; 2021():3036741. PubMed ID: 34394704
[TBL] [Abstract][Full Text] [Related]
13. Identifying hepatocellular carcinoma-related hub genes by bioinformatics analysis and CYP2C8 is a potential prognostic biomarker.
Li C; Zhou D; Jiang X; Liu M; Tang H; Mei Z
Gene; 2019 May; 698():9-18. PubMed ID: 30825595
[TBL] [Abstract][Full Text] [Related]
14. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
15. Identification of Crucial Genes and Diagnostic Value Analysis in Major Depressive Disorder Using Bioinformatics Analysis.
Gao Y; Zhao H; Xu T; Tian J; Qin X
Comb Chem High Throughput Screen; 2022; 25(1):13-20. PubMed ID: 33238838
[TBL] [Abstract][Full Text] [Related]
16. Screening and Identification of Key Biomarkers in Inflammatory Breast Cancer Through Integrated Bioinformatic Analyses.
Wu J; Lv Q; Huang H; Zhu M; Meng D
Genet Test Mol Biomarkers; 2020 Aug; 24(8):484-491. PubMed ID: 32598242
[No Abstract] [Full Text] [Related]
17. Identification of shared gene signatures in major depressive disorder and triple-negative breast cancer.
Xie H; Ding C; Li Q; Sheng W; Xu J; Feng R; Cheng H
BMC Psychiatry; 2024 May; 24(1):369. PubMed ID: 38755543
[TBL] [Abstract][Full Text] [Related]
18. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.
Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K
Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538
[TBL] [Abstract][Full Text] [Related]
19. Delineating the underlying molecular mechanisms and key genes involved in metastasis of colorectal cancer via bioinformatics analysis.
Qi C; Chen Y; Zhou Y; Huang X; Li G; Zeng J; Ruan Z; Xie X; Zhang J
Oncol Rep; 2018 May; 39(5):2297-2305. PubMed ID: 29517105
[TBL] [Abstract][Full Text] [Related]
20. Identification and validation of key genes with prognostic value in non-small-cell lung cancer via integrated bioinformatics analysis.
Wang L; Qu J; Liang Y; Zhao D; Rehman FU; Qin K; Zhang X
Thorac Cancer; 2020 Apr; 11(4):851-866. PubMed ID: 32059076
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
