289 related articles for article (PubMed ID: 30526079)
21. 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]
22. Weighted Gene Co-Expression Network Analysis Identifies Hub Genes Associated with Occurrence and Prognosis of Oral Squamous Cell Carcinoma.
Ge Y; Li W; Ni Q; He Y; Chu J; Wei P
Med Sci Monit; 2019 Sep; 25():7272-7288. PubMed ID: 31562292
[TBL] [Abstract][Full Text] [Related]
23. Gene network in pulmonary tuberculosis based on bioinformatic analysis.
Li L; Lv J; He Y; Wang Z
BMC Infect Dis; 2020 Aug; 20(1):612. PubMed ID: 32811479
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. 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]
26. 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]
27. 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]
28. Identification of Hub Genes and Pathways in a Rat Model of Renal Ischemia-Reperfusion Injury Using Bioinformatics Analysis of the Gene Expression Omnibus (GEO) Dataset and Integration of Gene Expression Profiles.
Guo A; Wang W; Shi H; Wang J; Liu T
Med Sci Monit; 2019 Nov; 25():8403-8411. PubMed ID: 31699960
[TBL] [Abstract][Full Text] [Related]
29. Decoding Psoriasis: Integrated Bioinformatics Approach to Understand Hub Genes and Involved Pathways.
Choudhary S; Pradhan D; Khan NS; Singh H; Thomas G; Jain AK
Curr Pharm Des; 2020; 26(29):3619-3630. PubMed ID: 32160841
[TBL] [Abstract][Full Text] [Related]
30. Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.
Vastrad B; Vastrad C; Godavarthi A; Chandrashekar R
Med Oncol; 2017 Sep; 34(11):182. PubMed ID: 28952134
[TBL] [Abstract][Full Text] [Related]
31. Identification of the key pathways and genes involved in HER2-positive breast cancer with brain metastasis.
Lu X; Gao C; Liu C; Zhuang J; Su P; Li H; Wang X; Sun C
Pathol Res Pract; 2019 Aug; 215(8):152475. PubMed ID: 31178227
[TBL] [Abstract][Full Text] [Related]
32. Association between SNAP25 and human glioblastoma multiform: a comprehensive bioinformatic analysis.
Yu C; Yin J; Wang X; Chen L; Wei Y; Lu C; You Y
Biosci Rep; 2020 Jun; 40(6):. PubMed ID: 32412599
[TBL] [Abstract][Full Text] [Related]
33. Exploring the Molecular Mechanism of Thoracic Aortic Aneurysm via Bioinformatics Analysis.
Li H; Zhen Y; Geng Y; Feng J; Wang J; Zhang H
Med Sci Monit; 2018 Mar; 24():1533-1539. PubMed ID: 29538353
[TBL] [Abstract][Full Text] [Related]
34. Integrated bioinformatics analysis reveals key candidate genes and pathways in breast cancer.
Wang Y; Zhang Y; Huang Q; Li C
Mol Med Rep; 2018 Jun; 17(6):8091-8100. PubMed ID: 29693125
[TBL] [Abstract][Full Text] [Related]
35. Identification of critical genes in nucleus pulposus cells isolated from degenerated intervertebral discs using bioinformatics analysis.
Zhu Z; Chen G; Jiao W; Wang D; Cao Y; Zhang Q; Wang J
Mol Med Rep; 2017 Jul; 16(1):553-564. PubMed ID: 28586059
[TBL] [Abstract][Full Text] [Related]
36. Identification of biomarkers, pathways, and potential therapeutic targets for heart failure using next-generation sequencing data and bioinformatics analysis.
Ganekal P; Vastrad B; Vastrad C; Kotrashetti S
Ther Adv Cardiovasc Dis; 2023; 17():17539447231168471. PubMed ID: 37092838
[TBL] [Abstract][Full Text] [Related]
37. Identification of key genes and associated pathways in KIT/PDGFRA wild‑type gastrointestinal stromal tumors through bioinformatics analysis.
Wang WJ; Li HT; Yu JP; Li YM; Han XP; Chen P; Yu WW; Chen WK; Jiao ZY; Liu HB
Mol Med Rep; 2018 Nov; 18(5):4499-4515. PubMed ID: 30221743
[TBL] [Abstract][Full Text] [Related]
38. Bioinformatics analysis of gene expression profiles of esophageal squamous cell carcinoma.
He Y; Liu J; Zhao Z; Zhao H
Dis Esophagus; 2017 May; 30(5):1-8. PubMed ID: 28375447
[TBL] [Abstract][Full Text] [Related]
39. Comprehensive Bioinformatics Analysis Reveals Hub Genes and Inflammation State of Rheumatoid Arthritis.
Ren C; Li M; Du W; Lü J; Zheng Y; Xu H; Quan R
Biomed Res Int; 2020; 2020():6943103. PubMed ID: 32802866
[TBL] [Abstract][Full Text] [Related]
40. Bioinformatic Analyses of Renal Ischaemia-Reperfusion Injury Models: Identification of Key Genes Involved in the Development of Kidney Disease.
Zhu K; Zheng T; Chen X; Wang H
Kidney Blood Press Res; 2018; 43(6):1898-1907. PubMed ID: 30566931
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
