846 related articles for article (PubMed ID: 31139013)
1. Eleven genes associated with progression and prognosis of endometrial cancer (EC) identified by comprehensive bioinformatics analysis.
Liu J; Zhou S; Li S; Jiang Y; Wan Y; Ma X; Cheng W
Cancer Cell Int; 2019; 19():136. PubMed ID: 31139013
[TBL] [Abstract][Full Text] [Related]
2.
Liu J; Li S; Liang J; Jiang Y; Wan Y; Zhou S; Cheng W
Cancer Manag Res; 2019; 11():2379-2392. PubMed ID: 30988639
[TBL] [Abstract][Full Text] [Related]
3. Identification of molecular markers associated with the progression and prognosis of endometrial cancer: a bioinformatic study.
Liu J; Feng M; Li S; Nie S; Wang H; Wu S; Qiu J; Zhang J; Cheng W
Cancer Cell Int; 2020; 20():59. PubMed ID: 32099532
[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. Identification of aberrantly methylated differentially expressed genes and associated pathways in endometrial cancer using integrated bioinformatic analysis.
Liu J; Wan Y; Li S; Qiu H; Jiang Y; Ma X; Zhou S; Cheng W
Cancer Med; 2020 May; 9(10):3522-3536. PubMed ID: 32170852
[TBL] [Abstract][Full Text] [Related]
6. Co-expression network analysis identified atypical chemokine receptor 1 (ACKR1) association with lymph node metastasis and prognosis in cervical cancer.
Liu J; Li S; Lin L; Jiang Y; Wan Y; Zhou S; Cheng W
Cancer Biomark; 2020; 27(2):213-223. PubMed ID: 32083574
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. TTK, CDC25A, and ESPL1 as Prognostic Biomarkers for Endometrial Cancer.
Yang Q; Yu B; Sun J
Biomed Res Int; 2020; 2020():4625123. PubMed ID: 33282948
[TBL] [Abstract][Full Text] [Related]
9. Identification of Potential Crucial Genes and Key Pathways in Breast Cancer Using Bioinformatic Analysis.
Deng JL; Xu YH; Wang G
Front Genet; 2019; 10():695. PubMed ID: 31428132
[No Abstract] [Full Text] [Related]
10. Comprehensive analysis and identification of key genes and signaling pathways in the occurrence and metastasis of cutaneous melanoma.
Dai H; Guo L; Lin M; Cheng Z; Li J; Tang J; Huan X; Huang Y; Xu K
PeerJ; 2020; 8():e10265. PubMed ID: 33240619
[TBL] [Abstract][Full Text] [Related]
11. Decreased PTGDS Expression Predicting Poor Survival of Endometrial Cancer by Integrating Weighted Gene Co-Expression Network Analysis and Immunohistochemical Validation.
Zou R; Zheng M; Tan M; Xu H; Luan N; Zhu L
Cancer Manag Res; 2020; 12():5057-5075. PubMed ID: 32617019
[TBL] [Abstract][Full Text] [Related]
12. Identification of genes and pathways in esophageal adenocarcinoma using bioinformatics analysis.
He F; Ai B; Tian L
Biomed Rep; 2018 Oct; 9(4):305-312. PubMed ID: 30233782
[TBL] [Abstract][Full Text] [Related]
13. Immune-related gene
Nong B; Su T; Jin M; Huang J; Huang A; Fang D; Wei J
Transl Cancer Res; 2021 Jun; 10(6):2962-2976. PubMed ID: 35116604
[TBL] [Abstract][Full Text] [Related]
14. [Biomarkers associated with severity classification of asthma identified by comprehensive bioinformatics analysis].
Xiao ZM; Yan X; Li F; Xiao KW; Liu GH
Zhonghua Yu Fang Yi Xue Za Zhi; 2023 Sep; 57(9):1458-1468. PubMed ID: 37743309
[TBL] [Abstract][Full Text] [Related]
15. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
[TBL] [Abstract][Full Text] [Related]
16. Identification of immune related cells and crucial genes in the peripheral blood of ankylosing spondylitis by integrated bioinformatics analysis.
Zheng Y; Cai B; Ren C; Xu H; Du W; Wu Y; Lin F; Zhang H; Quan R
PeerJ; 2021; 9():e12125. PubMed ID: 34589304
[TBL] [Abstract][Full Text] [Related]
17. Identification of six candidate genes for endometrial carcinoma by bioinformatics analysis.
Zhu Y; Shi L; Chen P; Zhang Y; Zhu T
World J Surg Oncol; 2020 Jul; 18(1):161. PubMed ID: 32641130
[TBL] [Abstract][Full Text] [Related]
18. Association between SNAP25 and human glioblastoma multiform: a comprehensive bioinformatic analysis.
Yu C; Yin J; Wang X; Chen L; Wei Y; Lu C; You Y
Biosci Rep; 2020 Jun; 40(6):. PubMed ID: 32412599
[TBL] [Abstract][Full Text] [Related]
19. SNX10 and PTGDS are associated with the progression and prognosis of cervical squamous cell carcinoma.
Jiang P; Cao Y; Gao F; Sun W; Liu J; Ma Z; Xie M; Fu S
BMC Cancer; 2021 Jun; 21(1):694. PubMed ID: 34116656
[TBL] [Abstract][Full Text] [Related]
20. Identification of latent biomarkers in connection with progression and prognosis in oral cancer by comprehensive bioinformatics analysis.
Reyimu A; Chen Y; Song X; Zhou W; Dai J; Jiang F
World J Surg Oncol; 2021 Aug; 19(1):240. PubMed ID: 34384424
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]