1038 related articles for article (PubMed ID: 31416885)
1. An integrative bioinformatics analysis of microarray data for identifying hub genes as diagnostic biomarkers of preeclampsia.
Liu K; Fu Q; Liu Y; Wang C
Biosci Rep; 2019 Sep; 39(9):. PubMed ID: 31416885
[TBL] [Abstract][Full Text] [Related]
2. Identification of potential crucial genes associated with early-onset preeclampsia via bioinformatic analysis.
Kang Q; Li W; Xiao J; Yu N; Fan L; Sha M; Ma S; Wu J; Chen S
Pregnancy Hypertens; 2021 Jun; 24():27-36. PubMed ID: 33640831
[TBL] [Abstract][Full Text] [Related]
3. Identification of key microRNAs and genes in preeclampsia by bioinformatics analysis.
Luo S; Cao N; Tang Y; Gu W
PLoS One; 2017; 12(6):e0178549. PubMed ID: 28594854
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Identification of Differentially Expressed Genes and Signaling Pathways in Placenta Tissue of Early-Onset and Late-Onset Pre-Eclamptic Pregnancies by Integrated Bioinformatics Analysis.
Liu J; Song G; Meng T; Zhao G
Med Sci Monit; 2020 Jun; 26():e921997. PubMed ID: 32497025
[TBL] [Abstract][Full Text] [Related]
6. Identification of potential biomarkers with colorectal cancer based on bioinformatics analysis and machine learning.
Hammad A; Elshaer M; Tang X
Math Biosci Eng; 2021 Oct; 18(6):8997-9015. PubMed ID: 34814332
[TBL] [Abstract][Full Text] [Related]
7. Bioinformatics methods in biomarkers of preeclampsia and associated potential drug applications.
Peng Y; Hong H; Gao N; Wan A; Ma Y
BMC Genomics; 2022 Oct; 23(1):711. PubMed ID: 36258174
[TBL] [Abstract][Full Text] [Related]
8. Identification of hub glutamine metabolism-associated genes and immune characteristics in pre-eclampsia.
Mao Y; Li X; Ren R; Yuan Y; Wang L; Zhang X
PLoS One; 2024; 19(5):e0303471. PubMed ID: 38718074
[TBL] [Abstract][Full Text] [Related]
9. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Biomarker identification and trans-regulatory network analyses in esophageal adenocarcinoma and Barrett's esophagus.
Lv J; Guo L; Wang JH; Yan YZ; Zhang J; Wang YY; Yu Y; Huang YF; Zhao HP
World J Gastroenterol; 2019 Jan; 25(2):233-244. PubMed ID: 30670912
[TBL] [Abstract][Full Text] [Related]
13. Identification of Early-Onset Preeclampsia-Related Genes and MicroRNAs by Bioinformatics Approaches.
Song J; Li Y; An RF
Reprod Sci; 2015 Aug; 22(8):954-63. PubMed ID: 25717061
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Integrated analysis of multiple microarray studies to identify potential pathogenic gene modules in preeclampsia.
Xu H; Xie Y; Sun Y; Guo R; Lv D; Li X; Li F; He M; Fan Y; Deng D
Exp Mol Pathol; 2021 Jun; 120():104631. PubMed ID: 33744280
[TBL] [Abstract][Full Text] [Related]
16. Screening of key biomarkers and immune infiltration in Pulmonary Arterial Hypertension via integrated bioinformatics analysis.
Zeng Y; Li N; Zheng Z; Chen R; Liu W; Cheng J; Zhu J; Zeng M; Peng M; Hong C
Bioengineered; 2021 Dec; 12(1):2576-2591. PubMed ID: 34233597
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Integrative analysis of potential biomarkers and immune cell infiltration in Parkinson's disease.
Chen X; Cao W; Zhuang Y; Chen S; Li X
Brain Res Bull; 2021 Dec; 177():53-63. PubMed ID: 34536521
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Bioinformatics Analysis of Gene Expression Profiles for Risk Prediction in Patients with Septic Shock.
Hu Y; Cheng L; Zhong W; Chen M; Zhang Q
Med Sci Monit; 2019 Dec; 25():9563-9571. PubMed ID: 31838482
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]