108 related articles for article (PubMed ID: 34797290)
21. Cysteine-rich 61-associated gene expression profile alterations in human glioma cells.
Wang R; Wei B; Wei J; Tian Y; Du C
Mol Med Rep; 2017 Oct; 16(4):5561-5567. PubMed ID: 28849002
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. Screening and identification of key biomarkers of papillary renal cell carcinoma by bioinformatic analysis.
Xu Y; Kong D; Li Z; Qian L; Li J; Zou C
PLoS One; 2021; 16(8):e0254868. PubMed ID: 34358255
[TBL] [Abstract][Full Text] [Related]
24. Microarray gene expression profiling and bioinformatics analysis reveal key differentially expressed genes in clival and sacral chordoma cell lines.
Li G; Cai L; Zhou L
Neurol Res; 2019 Jun; 41(6):554-561. PubMed ID: 30821656
[TBL] [Abstract][Full Text] [Related]
25. Identification of Key Biomarkers and Potential Molecular Mechanisms in Renal Cell Carcinoma by Bioinformatics Analysis.
Li F; Guo P; Dong K; Guo P; Wang H; Lv X
J Comput Biol; 2019 Nov; 26(11):1278-1295. PubMed ID: 31233342
[No Abstract] [Full Text] [Related]
26. Revealing the potential pathogenesis of glioma by utilizing a glioma associated protein-protein interaction network.
Pan W; Li G; Yang X; Miao J
Pathol Oncol Res; 2015 Apr; 21(2):455-62. PubMed ID: 25410026
[TBL] [Abstract][Full Text] [Related]
27. Identification of Potential Hub Genes and Signal Pathways Promoting the Distinct Biological Features of Cord Blood-Derived Endothelial Progenitor Cells Via Bioinformatics.
Wang Q; Chen S; Wu J; Liu D; Jiang N; Wang B; Zhai J; Liu Z
Genet Test Mol Biomarkers; 2020 Sep; 24(9):549-561. PubMed ID: 32744910
[No Abstract] [Full Text] [Related]
28. Identification of key genes and pathways in castrate-resistant prostate cancer by integrated bioinformatics analysis.
Wu YP; Ke ZB; Lin F; Wen YA; Chen S; Li XD; Chen SH; Sun XL; Huang JB; Zheng QS; Xue XY; Wei Y; Xu N
Pathol Res Pract; 2020 Oct; 216(10):153109. PubMed ID: 32853947
[TBL] [Abstract][Full Text] [Related]
29. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
[No Abstract] [Full Text] [Related]
30. Screening and identification of potential biomarkers and therapeutic drugs in melanoma via integrated bioinformatics analysis.
Chen B; Sun D; Qin X; Gao XH
Invest New Drugs; 2021 Aug; 39(4):928-948. PubMed ID: 33501609
[TBL] [Abstract][Full Text] [Related]
31. Common gene signatures and key pathways in hypopharyngeal and esophageal squamous cell carcinoma: Evidence from bioinformatic analysis.
Zhou R; Liu D; Zhu J; Zhang T
Medicine (Baltimore); 2020 Oct; 99(42):e22434. PubMed ID: 33080677
[TBL] [Abstract][Full Text] [Related]
32. Screening and identification of hub genes in pancreatic cancer by integrated bioinformatics analysis.
Chen Q; Yu D; Zhao Y; Qiu J; Xie Y; Tao M
J Cell Biochem; 2019 Dec; 120(12):19496-19508. PubMed ID: 31297881
[TBL] [Abstract][Full Text] [Related]
33. Epigenetic down-regulated DDX10 promotes cell proliferation through Akt/NF-κB pathway in ovarian cancer.
Gai M; Bo Q; Qi L
Biochem Biophys Res Commun; 2016 Jan; 469(4):1000-5. PubMed ID: 26713367
[TBL] [Abstract][Full Text] [Related]
34. Detection of critical genes associated with poor prognosis in breast cancer via integrated bioinformatics analyses.
Liu D; Zhang J; Li L; Wang Q; Lan Y
J BUON; 2020; 25(6):2537-2545. PubMed ID: 33455094
[TBL] [Abstract][Full Text] [Related]
35. Identification of Hub Genes and Key Pathways Associated with Peripheral T-cell Lymphoma.
Gao HX; Wang MB; Li SJ; Niu J; Xue J; Li J; Li XX
Curr Med Sci; 2020 Oct; 40(5):885-899. PubMed ID: 32980897
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Identification of the key genes and microRNAs in adult acute myeloid leukemia with FLT3 mutation by bioinformatics analysis.
Chen S; Chen Y; Zhu Z; Tan H; Lu J; Qin P; Xu L
Int J Med Sci; 2020; 17(9):1269-1280. PubMed ID: 32547322
[No Abstract] [Full Text] [Related]
38. Identification of differentially expressed genes regulated by molecular signature in breast cancer-associated fibroblasts by bioinformatics analysis.
Vastrad B; Vastrad C; Tengli A; Iliger S
Arch Gynecol Obstet; 2018 Jan; 297(1):161-183. PubMed ID: 29063236
[TBL] [Abstract][Full Text] [Related]
39. Comprehensive Analysis of Core Genes and Potential Mechanisms in Rectal Cancer.
Liu BX; Huang GJ; Cheng HB
J Comput Biol; 2019 Nov; 26(11):1262-1277. PubMed ID: 31211595
[No Abstract] [Full Text] [Related]
40. Identification of hub genes and biological pathways in glioma via integrated bioinformatics analysis.
Chen L; Sun T; Li J; Zhao Y
J Int Med Res; 2022 Jun; 50(6):3000605221103976. PubMed ID: 35676807
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
