172 related articles for article (PubMed ID: 37344577)
1. Identification of key biomarkers and related immune cell infiltration in cervical cancer tissue based on bioinformatics analysis.
Zhu G; Xiong Z; Chen W; Zhu Z; Wang W
Sci Rep; 2023 Jun; 13(1):10121. PubMed ID: 37344577
[TBL] [Abstract][Full Text] [Related]
2. Screening and Discovery of New Potential Biomarkers and Small Molecule Drugs for Cervical Cancer: A Bioinformatics Analysis.
Qiu HZ; Huang J; Xiang CC; Li R; Zuo ED; Zhang Y; Shan L; Cheng X
Technol Cancer Res Treat; 2020; 19():1533033820980112. PubMed ID: 33302814
[TBL] [Abstract][Full Text] [Related]
3. Differentially Infiltrated Identification of Novel Diagnostic Biomarkers Associated with Immune Infiltration in Nasopharyngeal Carcinoma.
Gao P; Lu W; Hu S; Zhao K
Dis Markers; 2022; 2022():3934704. PubMed ID: 36438903
[TBL] [Abstract][Full Text] [Related]
4. Screening and identification of potential hub genes and immune cell infiltration in the synovial tissue of rheumatoid arthritis by bioinformatic approach.
Feng ZW; Tang YC; Sheng XY; Wang SH; Wang YB; Liu ZC; Liu JM; Geng B; Xia YY
Heliyon; 2023 Jan; 9(1):e12799. PubMed ID: 36699262
[TBL] [Abstract][Full Text] [Related]
5. Bioinformatics and cheminformatics approaches to identify pathways, molecular mechanisms and drug substances related to genetic basis of cervical cancer.
Andalib KMS; Rahman MH; Habib A
J Biomol Struct Dyn; 2023; 41(23):14232-14247. PubMed ID: 36852684
[TBL] [Abstract][Full Text] [Related]
6. Five candidate biomarkers associated with the diagnosis and prognosis of cervical cancer.
Han HY; Mou JT; Jiang WP; Zhai XM; Deng K
Biosci Rep; 2021 Mar; 41(3):. PubMed ID: 33616161
[TBL] [Abstract][Full Text] [Related]
7. Identification of miRNA-mRNA Regulatory Network and Construction of Prognostic Signature in Cervical Cancer.
Mei Y; Jiang P; Shen N; Fu S; Zhang J
DNA Cell Biol; 2020 Jun; 39(6):1023-1040. PubMed ID: 32349536
[TBL] [Abstract][Full Text] [Related]
8. Identification of potential crucial genes and key pathways shared in Inflammatory Bowel Disease and cervical cancer by machine learning and integrated bioinformatics.
Nguyen TB; Do DN; Nguyen-Thi ML; Hoang-The H; Tran TT; Nguyen-Thanh T
Comput Biol Med; 2022 Oct; 149():105996. PubMed ID: 36049413
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Six potential biomarkers in septic shock: a deep bioinformatics and prospective observational study.
Kong C; Zhu Y; Xie X; Wu J; Qian M
Front Immunol; 2023; 14():1184700. PubMed ID: 37359526
[TBL] [Abstract][Full Text] [Related]
11. A microRNA-Messenger RNA Regulatory Network and Its Prognostic Value in Cervical Cancer.
Liu J; Yang J; Gao F; Li S; Nie S; Meng H; Sun R; Wan Y; Jiang Y; Ma X; Cheng W
DNA Cell Biol; 2020 Jul; 39(7):1328-1346. PubMed ID: 32456463
[TBL] [Abstract][Full Text] [Related]
12. Renal tubular gen e biomarkers identification based on immune infiltrates in focal segmental glomerulosclerosis.
Bai J; Pu X; Zhang Y; Dai E
Ren Fail; 2022 Dec; 44(1):966-986. PubMed ID: 35713363
[TBL] [Abstract][Full Text] [Related]
13. Screening of cervical cancer-related hub genes based on comprehensive bioinformatics analysis.
Tu S; Zhang H; Yang X; Wen W; Song K; Yu X; Qu X
Cancer Biomark; 2021; 32(3):303-315. PubMed ID: 34151839
[TBL] [Abstract][Full Text] [Related]
14. Identification of Effective Diagnostic Biomarkers and Immune Cell Infiltration in Atopic Dermatitis by Comprehensive Bioinformatics Analysis.
Li C; Lu Y; Han X
Front Mol Biosci; 2022; 9():917077. PubMed ID: 35911963
[No Abstract] [Full Text] [Related]
15. Integrated Bioinformatics-Based Analysis of Hub Genes and the Mechanism of Immune Infiltration Associated With Acute Myocardial Infarction.
Wu Y; Jiang T; Hua J; Xiong Z; Chen H; Li L; Peng J; Xiong W
Front Cardiovasc Med; 2022; 9():831605. PubMed ID: 35463752
[TBL] [Abstract][Full Text] [Related]
16. Integrative analyses of potential biomarkers and pathways for non-obstructive azoospermia.
Zhong Y; Chen X; Zhao J; Deng H; Li X; Xie Z; Zhou B; Xian Z; Li X; Luo G; Li H
Front Genet; 2022; 13():988047. PubMed ID: 36506310
[No Abstract] [Full Text] [Related]
17. CCL8 as a promising prognostic factor in diffuse large B-cell lymphoma
Lou X; Zhao K; Xu J; Shuai L; Niu H; Cao Z; Wang J; Zhang Y
Front Immunol; 2022; 13():950213. PubMed ID: 36072582
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. ATF3 as a potential diagnostic marker of early-stage osteoarthritis and its correlation with immune infiltration through bioinformatics analysis.
Yang J; Fan Y; Liu S
Bone Joint Res; 2022 Sep; 11(9):679-689. PubMed ID: 36082523
[TBL] [Abstract][Full Text] [Related]
20. Identification of Hub Genes as Potential Prognostic Biomarkers in Cervical Cancer Using Comprehensive Bioinformatics Analysis and Validation Studies.
Xue H; Sun Z; Wu W; Du D; Liao S
Cancer Manag Res; 2021; 13():117-131. PubMed ID: 33447084
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
