200 related articles for article (PubMed ID: 38328611)
41. Identification of gene biomarkers and immune cell infiltration characteristics in rectal cancer.
Wen L; Han Z; Du Y
J Gastrointest Oncol; 2021 Jun; 12(3):964-980. PubMed ID: 34295549
[TBL] [Abstract][Full Text] [Related]
42. 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]
43. Integrated bioinformatics analysis of differentially expressed genes and immune cell infiltration characteristics in Esophageal Squamous cell carcinoma.
Feng Z; Qu J; Liu X; Liang J; Li Y; Jiang J; Zhang H; Tian H
Sci Rep; 2021 Aug; 11(1):16696. PubMed ID: 34404882
[TBL] [Abstract][Full Text] [Related]
44. ATF3 as a potential diagnostic marker of early-stage osteoarthritis and its correlation with immune infiltration through bioinformatics analysis.
Yang J; Fan Y; Liu S
Bone Joint Res; 2022 Sep; 11(9):679-689. PubMed ID: 36082523
[TBL] [Abstract][Full Text] [Related]
45. Identification of Differentially Expressed Genes and miRNAs for Ulcerative Colitis Using Bioinformatics Analysis.
Hu W; Fang T; Chen X
Front Genet; 2022; 13():914384. PubMed ID: 35719390
[No Abstract] [Full Text] [Related]
46. 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]
47. Identification of Key Inflammation-related Genes as Potential Diagnostic Biomarkers of Sepsis.
Guo P; Wang R; Shen J; Zhang L; Mo W
Altern Ther Health Med; 2023 Jul; 29(5):24-31. PubMed ID: 37235492
[TBL] [Abstract][Full Text] [Related]
48. Identification of breast cancer hub genes and analysis of prognostic values using integrated bioinformatics analysis.
Fang E; Zhang X
Cancer Biomark; 2017 Dec; 21(1):373-381. PubMed ID: 29081411
[TBL] [Abstract][Full Text] [Related]
49. Identification of differentially expressed genes and biological characteristics of colorectal cancer by integrated bioinformatics analysis.
Sun G; Li Y; Peng Y; Lu D; Zhang F; Cui X; Zhang Q; Li Z
J Cell Physiol; 2019 Sep; 234(9):15215-15224. PubMed ID: 30652311
[TBL] [Abstract][Full Text] [Related]
50. Differentially Infiltrated Identification of Novel Diagnostic Biomarkers Associated with Immune Infiltration in Nasopharyngeal Carcinoma.
Gao P; Lu W; Hu S; Zhao K
Dis Markers; 2022; 2022():3934704. PubMed ID: 36438903
[TBL] [Abstract][Full Text] [Related]
51. Identification of Gene Changes Induced by Dexamethasone in the Anterior Segment of the Human Eye Using Bioinformatics Analysis.
Zhang Y; Yang A; Huang J
Med Sci Monit; 2019 Jul; 25():5501-5509. PubMed ID: 31339875
[TBL] [Abstract][Full Text] [Related]
52. 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]
53. Integrated Analysis of Multiple Microarray Studies to Identify Novel Gene Signatures in Ulcerative Colitis.
Chen ZA; Sun YF; Wang QX; Ma HH; Ma ZZ; Yang CJ
Front Genet; 2021; 12():697514. PubMed ID: 34306038
[No Abstract] [Full Text] [Related]
54. Identification of Differentially Expressed Genes and Signaling Pathways in Acute Myocardial Infarction Based on Integrated Bioinformatics Analysis.
Chen DQ; Kong XS; Shen XB; Huang MZ; Zheng JP; Sun J; Xu SH
Cardiovasc Ther; 2019; 2019():8490707. PubMed ID: 31772617
[TBL] [Abstract][Full Text] [Related]
55. Identification of key genes and biological pathways in Chinese lung cancer population using bioinformatics analysis.
Liu P; Li H; Liao C; Tang Y; Li M; Wang Z; Wu Q; Zhou Y
PeerJ; 2022; 10():e12731. PubMed ID: 35178291
[TBL] [Abstract][Full Text] [Related]
56. Identification of Key Genes and Pathways in Myeloma side population cells by Bioinformatics Analysis.
Yang Q; Li K; Li X; Liu J
Int J Med Sci; 2020; 17(14):2063-2076. PubMed ID: 32922167
[No Abstract] [Full Text] [Related]
57. Identifying the Hub Genes and Immune Cell Infiltration in Synovial Tissue between Osteoarthritic and Rheumatoid Arthritic Patients by Bioinformatic Approach.
Wang J; Fan Q; Yu T; Zhang Y
Curr Pharm Des; 2022; 28(6):497-509. PubMed ID: 34736376
[TBL] [Abstract][Full Text] [Related]
58. Analysis of genes associated with prognosis of lung adenocarcinoma based on GEO and TCGA databases.
Yu Y; Tian X
Medicine (Baltimore); 2020 May; 99(19):e20183. PubMed ID: 32384511
[TBL] [Abstract][Full Text] [Related]
59. Integrated Bioinformatics-Based Analysis of Hub Genes and the Mechanism of Immune Infiltration Associated With Acute Myocardial Infarction.
Wu Y; Jiang T; Hua J; Xiong Z; Chen H; Li L; Peng J; Xiong W
Front Cardiovasc Med; 2022; 9():831605. PubMed ID: 35463752
[TBL] [Abstract][Full Text] [Related]
60. Aurora Kinase A as a Diagnostic and Prognostic Marker of Malignant Mesothelioma.
Guo Z; Shen L; Li N; Wu X; Wang C; Gu Z; Chen Z; Liu J; Mao W; Han Y
Front Oncol; 2021; 11():789244. PubMed ID: 34956905
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]