234 related articles for article (PubMed ID: 31037767)
21. Identification of transcription factors (TFs) and targets involved in the cholangiocarcinoma (CCA) by integrated analysis.
Yang L; Feng S; Yang Y
Cancer Gene Ther; 2016 Dec; 23(12):439-445. PubMed ID: 27857060
[TBL] [Abstract][Full Text] [Related]
22. A multi-omics approach for biomarker discovery in neuroblastoma: a network-based framework.
Hussein R; Abou-Shanab AM; Badr E
NPJ Syst Biol Appl; 2024 May; 10(1):52. PubMed ID: 38760476
[TBL] [Abstract][Full Text] [Related]
23. Identification of a metabolism-related gene expression prognostic model in endometrial carcinoma patients.
Jiang P; Sun W; Shen N; Huang X; Fu S
BMC Cancer; 2020 Sep; 20(1):864. PubMed ID: 32894095
[TBL] [Abstract][Full Text] [Related]
24. Weighted gene co-expression network analysis in identification of endometrial cancer prognosis markers.
Zhu XL; Ai ZH; Wang J; Xu YL; Teng YC
Asian Pac J Cancer Prev; 2012; 13(9):4607-11. PubMed ID: 23167388
[TBL] [Abstract][Full Text] [Related]
25. TF-RBP-AS Triplet Analysis Reveals the Mechanisms of Aberrant Alternative Splicing Events in Kidney Cancer: Implications for Their Possible Clinical Use as Prognostic and Therapeutic Biomarkers.
He M; Hu F
Int J Mol Sci; 2021 Aug; 22(16):. PubMed ID: 34445498
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Integrated analysis reveals candidate genes and transcription factors in lung adenocarcinoma.
Chen B; Gao S; Ji C; Song G
Mol Med Rep; 2017 Dec; 16(6):8371-8379. PubMed ID: 28983631
[TBL] [Abstract][Full Text] [Related]
28. Identification of aberrantly methylated differentially expressed genes in breast cancer by integrated bioinformatics analysis.
Yi L; Luo P; Zhang J
J Cell Biochem; 2019 Sep; 120(9):16229-16243. PubMed ID: 31081184
[TBL] [Abstract][Full Text] [Related]
29. Systems biology approach identifies key regulators and the interplay between miRNAs and transcription factors for pathological cardiac hypertrophy.
Recamonde-Mendoza M; Werhli AV; Biolo A
Gene; 2019 May; 698():157-169. PubMed ID: 30844478
[TBL] [Abstract][Full Text] [Related]
30. Identification of an immune checkpoint gene signature that accurately predicts prognosis and immunotherapy response in endometrial carcinoma.
Li S; Dong C; Chen J; Gao X; Xie X; Zhang X
Aging (Albany NY); 2021 Jun; 13(12):16696-16712. PubMed ID: 34158412
[TBL] [Abstract][Full Text] [Related]
31. Identification of the Ferroptosis-Associated Gene Signature to Predict the Prognostic Status of Endometrial Carcinoma Patients.
Qin J; Shao X; Wu L; Du H
Comput Math Methods Med; 2021; 2021():9954370. PubMed ID: 34531924
[TBL] [Abstract][Full Text] [Related]
32. Advances in endometrial cancer protein biomarkers for use in the clinic.
Martinez-Garcia E; Lopez-Gil C; Campoy I; Vallve J; Coll E; Cabrera S; Ramon Y Cajal S; Matias-Guiu X; Van Oostrum J; Reventos J; Gil-Moreno A; Colas E
Expert Rev Proteomics; 2018 Jan; 15(1):81-99. PubMed ID: 29183259
[TBL] [Abstract][Full Text] [Related]
33. PD-1 Coexpression Gene Analysis and the Regulatory Network in Endometrial Cancer Based on Bioinformatics Analysis.
Wang L; Liu Z; Zhang W; Zhang A; Qu P
Biomed Res Int; 2021; 2021():9923434. PubMed ID: 34124265
[TBL] [Abstract][Full Text] [Related]
34. Screening and identification of key biomarkers in hepatocellular carcinoma: Evidence from bioinformatic analysis.
Li L; Lei Q; Zhang S; Kong L; Qin B
Oncol Rep; 2017 Nov; 38(5):2607-2618. PubMed ID: 28901457
[TBL] [Abstract][Full Text] [Related]
35. NCAPH is upregulated in endometrial cancer and associated with poor clinicopathologic characteristics.
Qiu X; Gao Z; Shao J; Li H
Ann Hum Genet; 2020 Nov; 84(6):437-446. PubMed ID: 32628282
[TBL] [Abstract][Full Text] [Related]
36. Identification of Hepatocellular Carcinoma-Related Potential Genes and Pathways Through Bioinformatic-Based Analyses.
Wan Z; Zhang X; Luo Y; Zhao B
Genet Test Mol Biomarkers; 2019 Nov; 23(11):766-777. PubMed ID: 31633428
[No Abstract] [Full Text] [Related]
37. 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]
38. Estrogen receptor alpha activates MAPK signaling pathway to promote the development of endometrial cancer.
Liu A; Zhang D; Yang X; Song Y
J Cell Biochem; 2019 Oct; 120(10):17593-17601. PubMed ID: 31140648
[TBL] [Abstract][Full Text] [Related]
39. Identification of differentially expressed genes regulated by methylation in colon cancer based on bioinformatics analysis.
Liang Y; Zhang C; Dai DQ
World J Gastroenterol; 2019 Jul; 25(26):3392-3407. PubMed ID: 31341364
[TBL] [Abstract][Full Text] [Related]
40. Bioinformatics-Based Identification of Methylated-Differentially Expressed Genes and Related Pathways in Gastric Cancer.
Li H; Liu JW; Liu S; Yuan Y; Sun LP
Dig Dis Sci; 2017 Nov; 62(11):3029-3039. PubMed ID: 28914394
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
