These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
385 related articles for article (PubMed ID: 36927770)
41. Prospective pathway signaling and prognostic values of MicroRNA-9 in ovarian cancer based on gene expression omnibus (GEO): a bioinformatics analysis. Zuo L; Li X; Tan Y; Zhu H; Xiao M J Ovarian Res; 2021 Feb; 14(1):29. PubMed ID: 33563317 [TBL] [Abstract][Full Text] [Related]
42. 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]
43. 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]
44. Identification of chemoresistance associated key genes-miRNAs-TFs in docetaxel resistant breast cancer by bioinformatics analysis. Raju B; Narendra G; Verma H; Silakari O 3 Biotech; 2024 May; 14(5):128. PubMed ID: 38590544 [TBL] [Abstract][Full Text] [Related]
45. 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]
46. Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis. Mou T; Zhu D; Wei X; Li T; Zheng D; Pu J; Guo Z; Wu Z World J Surg Oncol; 2017 Mar; 15(1):63. PubMed ID: 28302149 [TBL] [Abstract][Full Text] [Related]
47. Identification of candidate biomarkers and therapeutic drugs of colorectal cancer by integrated bioinformatics analysis. Zheng Z; Xie J; Xiong L; Gao M; Qin L; Dai C; Liang Z; Wang Y; Xue J; Wang Q; Wang W; Li X Med Oncol; 2020 Oct; 37(11):104. PubMed ID: 33078282 [TBL] [Abstract][Full Text] [Related]
48. Identification of novel genes associated with a poor prognosis in pancreatic ductal adenocarcinoma via a bioinformatics analysis. Zhou J; Hui X; Mao Y; Fan L Biosci Rep; 2019 Aug; 39(8):. PubMed ID: 31311829 [TBL] [Abstract][Full Text] [Related]
49. 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]
50. Five hub genes contributing to the oncogenesis and trastuzumab-resistance in gastric cancer. Chen F; Wang Y; Zhang X; Fang J Gene; 2023 Jan; 851():146942. PubMed ID: 36202277 [TBL] [Abstract][Full Text] [Related]
51. An age stratified analysis of the biomarkers in patients with colorectal cancer. Yao H; Li C; Tan X Sci Rep; 2021 Nov; 11(1):22464. PubMed ID: 34789836 [TBL] [Abstract][Full Text] [Related]
52. BCL2 and hsa-miR-181a-5p are potential biomarkers associated with papillary thyroid cancer based on bioinformatics analysis. Zhang C; Bo C; Guo L; Yu P; Miao S; Gu X World J Surg Oncol; 2019 Dec; 17(1):221. PubMed ID: 31842912 [TBL] [Abstract][Full Text] [Related]
53. Identifying differentially expressed genes and miRNAs in Kawasaki disease by bioinformatics analysis. Cai Y; Hu W Sci Rep; 2022 Dec; 12(1):21879. PubMed ID: 36536067 [TBL] [Abstract][Full Text] [Related]
54. Identification of potential miRNA-mRNA regulatory network contributing to pathogenesis of HBV-related HCC. Lou W; Liu J; Ding B; Chen D; Xu L; Ding J; Jiang D; Zhou L; Zheng S; Fan W J Transl Med; 2019 Jan; 17(1):7. PubMed ID: 30602391 [TBL] [Abstract][Full Text] [Related]
55. Identification of core genes and outcomes in hepatocellular carcinoma by bioinformatics analysis. Shen S; Kong J; Qiu Y; Yang X; Wang W; Yan L J Cell Biochem; 2019 Jun; 120(6):10069-10081. PubMed ID: 30525236 [TBL] [Abstract][Full Text] [Related]
56. [Bioinformatics Analysis of Core Genes and Key Pathways in Myelodysplastic Syndrome]. Wang Y; Wang YS; Hu NB; Teng GS; Zhou Y; Bai J Zhongguo Shi Yan Xue Ye Xue Za Zhi; 2022 Jun; 30(3):804-812. PubMed ID: 35680809 [TBL] [Abstract][Full Text] [Related]
57. Underlying Molecular Mechanism and Construction of a miRNA-Gene Network in Idiopathic Pulmonary Fibrosis by Bioinformatics. Zheng S; Zhang Y; Hou Y; Li H; He J; Zhao H; Sun X; Liu Y Int J Mol Sci; 2023 Aug; 24(17):. PubMed ID: 37686108 [TBL] [Abstract][Full Text] [Related]
58. The identification of a common different gene expression signature in patients with colorectal cancer. Zhao ZW; Fan XX; Yang LL; Song JJ; Fang SJ; Tu JF; Chen MJ; Zheng LY; Wu FZ; Zhang DK; Ying XH; Ji JS Math Biosci Eng; 2019 Apr; 16(4):2942-2958. PubMed ID: 31137244 [TBL] [Abstract][Full Text] [Related]
59. Hypermethylated and downregulated MEIS2 are involved in stemness properties and oxaliplatin-based chemotherapy resistance of colorectal cancer. Wang X; Ghareeb WM; Zhang Y; Yu Q; Lu X; Huang Y; Huang S; Sun Y; Chi P J Cell Physiol; 2019 Aug; 234(10):18180-18191. PubMed ID: 30859572 [TBL] [Abstract][Full Text] [Related]
60. Bioinformatic Exploration of Hub Genes and Potential Therapeutic Drugs for Endothelial Dysfunction in Hypoxic Pulmonary Hypertension. Chen A; Wu W; Lin S; Xie L Comput Math Methods Med; 2022; 2022():3677532. PubMed ID: 36483920 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]