233 related articles for article (PubMed ID: 34623759)
41. Identification of differentially expressed genes between triple and non-triple-negative breast cancer using bioinformatics analysis.
Zhai Q; Li H; Sun L; Yuan Y; Wang X
Breast Cancer; 2019 Nov; 26(6):784-791. PubMed ID: 31197620
[TBL] [Abstract][Full Text] [Related]
42. Prognostic value of tumour microenvironment-related genes by TCGA database in rectal cancer.
Li C; Liu T; Liu Y; Zhang J; Zuo D
J Cell Mol Med; 2021 Jun; 25(12):5811-5822. PubMed ID: 33949771
[TBL] [Abstract][Full Text] [Related]
43. Identification of potential hub genes related to the progression and prognosis of hepatocellular carcinoma through integrated bioinformatics analysis.
Song X; Du R; Gui H; Zhou M; Zhong W; Mao C; Ma J
Oncol Rep; 2020 Jan; 43(1):133-146. PubMed ID: 31746405
[TBL] [Abstract][Full Text] [Related]
44. Bioinformatics and system biology approach to identify the influences of SARS-CoV-2 infections to idiopathic pulmonary fibrosis and chronic obstructive pulmonary disease patients.
Mahmud SMH; Al-Mustanjid M; Akter F; Rahman MS; Ahmed K; Rahman MH; Chen W; Moni MA
Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33847347
[TBL] [Abstract][Full Text] [Related]
45. 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]
46. Bioinformatics analysis and experimental validation of TTK as a biomarker for prognosis in non-small cell lung cancer.
Chen J; Wu R; Xuan Y; Jiang M; Zeng Y
Biosci Rep; 2020 Oct; 40(10):. PubMed ID: 32969465
[TBL] [Abstract][Full Text] [Related]
47. Identification of key genes and pathways of thyroid cancer by integrated bioinformatics analysis.
Liu L; He C; Zhou Q; Wang G; Lv Z; Liu J
J Cell Physiol; 2019 Dec; 234(12):23647-23657. PubMed ID: 31169306
[TBL] [Abstract][Full Text] [Related]
48. Identification of MEG8/miR-378d/SOBP axis as a novel regulatory network and associated with immune infiltrates in ovarian carcinoma by integrated bioinformatics analysis.
Lei J; He ZY; Wang J; Hu M; Zhou P; Lian CL; Hua L; Wu SG; Zhou J
Cancer Med; 2021 Apr; 10(8):2924-2939. PubMed ID: 33742531
[TBL] [Abstract][Full Text] [Related]
49. Identifying the Effect of COVID-19 Infection in Multiple Myeloma and Diffuse Large B-Cell Lymphoma Patients Using Bioinformatics and System Biology.
Li C; Zhang Y; Xiao Y; Luo Y
Comput Math Methods Med; 2022; 2022():7017317. PubMed ID: 36466549
[TBL] [Abstract][Full Text] [Related]
50. Identification of candidate diagnostic and prognostic biomarkers for pancreatic carcinoma.
Cheng Y; Wang K; Geng L; Sun J; Xu W; Liu D; Gong S; Zhu Y
EBioMedicine; 2019 Feb; 40():382-393. PubMed ID: 30639415
[TBL] [Abstract][Full Text] [Related]
51. Distinguishable Prognostic Signatures of Left- and Right-Sided Colon Cancer: a Study Based on Sequencing Data.
Liang L; Zeng JH; Qin XG; Chen JQ; Luo DZ; Chen G
Cell Physiol Biochem; 2018; 48(2):475-490. PubMed ID: 30016783
[TBL] [Abstract][Full Text] [Related]
52. Predictions of the dysregulated competing endogenous RNA signature involved in the progression of human lung adenocarcinoma.
Yang D; He Y; Wu B; Liu R; Wang N; Wang T; Luo Y; Li Y; Liu Y
Cancer Biomark; 2020; 29(3):399-416. PubMed ID: 32741804
[TBL] [Abstract][Full Text] [Related]
53. Construction of liver hepatocellular carcinoma-specific lncRNA-miRNA-mRNA network based on bioinformatics analysis.
Wang R; Hu X; Liu X; Bai L; Gu J; Li Q
PLoS One; 2021; 16(4):e0249881. PubMed ID: 33861762
[TBL] [Abstract][Full Text] [Related]
54. Bioinformatic identification of candidate biomarkers and related transcription factors in nasopharyngeal carcinoma.
Ye Z; Wang F; Yan F; Wang L; Li B; Liu T; Hu F; Jiang M; Li W; Fu Z
World J Surg Oncol; 2019 Apr; 17(1):60. PubMed ID: 30935420
[TBL] [Abstract][Full Text] [Related]
55. Elevated mRNA Levels of AURKA, CDC20 and TPX2 are associated with poor prognosis of smoking related lung adenocarcinoma using bioinformatics analysis.
Zhang MY; Liu XX; Li H; Li R; Liu X; Qu YQ
Int J Med Sci; 2018; 15(14):1676-1685. PubMed ID: 30588191
[No Abstract] [Full Text] [Related]
56. A 63 signature genes prediction system is effective for glioblastoma prognosis.
Zhang Y; Xu J; Zhu X
Int J Mol Med; 2018 Apr; 41(4):2070-2078. PubMed ID: 29393370
[TBL] [Abstract][Full Text] [Related]
57. Identification of Hub Genes in High-Grade Serous Ovarian Cancer Using Weighted Gene Co-Expression Network Analysis.
Wu M; Sun Y; Wu J; Liu G
Med Sci Monit; 2020 Mar; 26():e922107. PubMed ID: 32180586
[TBL] [Abstract][Full Text] [Related]
58. Identification of hub genes associated with COVID-19 and idiopathic pulmonary fibrosis by integrated bioinformatics analysis.
Chen Q; Xia S; Sui H; Shi X; Huang B; Wang T
PLoS One; 2022; 17(1):e0262737. PubMed ID: 35045126
[TBL] [Abstract][Full Text] [Related]
59. Differential gene expression profiling reveals potential biomarkers and pharmacological compounds against SARS-CoV-2: Insights from machine learning and bioinformatics approaches.
Hoque MN; Sarkar MMH; Khan MA; Hossain MA; Hasan MI; Rahman MH; Habib MA; Akter S; Banu TA; Goswami B; Jahan I; Nafisa T; Molla MMA; Soliman ME; Araf Y; Khan MS; Zheng C; Islam T
Front Immunol; 2022; 13():918692. PubMed ID: 36059456
[TBL] [Abstract][Full Text] [Related]
60. 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]
[Previous] [Next] [New Search]
