114 related articles for article (PubMed ID: 35134316)
1. Bioinformatics analysis deciphering the transcriptomic signatures associated with signalling pathways and prognosis in the myelodysplastic syndromes.
Tuerxun N; Wang J; Zhao F; Qin YT; Wang H; Chen R; Hao JP
Hematology; 2022 Dec; 27(1):214-231. PubMed ID: 35134316
[TBL] [Abstract][Full Text] [Related]
2. [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]
3. Identification of latent core genes and pathways associated with myelodysplastic syndromes based on integrated bioinformatics analysis.
Zhu Y; Wu L
Hematology; 2020 Dec; 25(1):299-308. PubMed ID: 32772642
[No Abstract] [Full Text] [Related]
4. Expression and clinical significance of RAG1 in myelodysplastic syndromes.
Huang X; Liang X; Zhu S; Xie Q; Yao Y; Shi Z; Liu Z
Hematology; 2022 Dec; 27(1):1122-1129. PubMed ID: 36166051
[TBL] [Abstract][Full Text] [Related]
5. Diagnostic and prognostic value of ferroptosis-related genes in patients with Myelodysplastic neoplasms.
Chen X; Li C; Wang Y; Geng S; Xiao M; Zeng L; Deng C; Li M; Huang X; Weng J; Du X; Lai P
Hematology; 2023 Dec; 28(1):2288475. PubMed ID: 38038045
[TBL] [Abstract][Full Text] [Related]
6. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
[TBL] [Abstract][Full Text] [Related]
7. Identification of Multiple Hub Genes and Pathways in Hepatocellular Carcinoma: A Bioinformatics Analysis.
Liu J; Han F; Ding J; Liang X; Liu J; Huang D; Zhang C
Biomed Res Int; 2021; 2021():8849415. PubMed ID: 34337056
[TBL] [Abstract][Full Text] [Related]
8. Screening and identification of key candidate genes and pathways in myelodysplastic syndrome by bioinformatic analysis.
Le Y
PeerJ; 2019; 7():e8162. PubMed ID: 31803541
[TBL] [Abstract][Full Text] [Related]
9. Identification of Potential Hub Genes Related to Diagnosis and Prognosis of Hepatitis B Virus-Related Hepatocellular Carcinoma via Integrated Bioinformatics Analysis.
Tang Y; Zhang Y; Hu X
Biomed Res Int; 2020; 2020():4251761. PubMed ID: 33376723
[TBL] [Abstract][Full Text] [Related]
10. Meta-analysis identifying epithelial-derived transcriptomes predicts poor clinical outcome and immune infiltrations in ovarian cancer.
Li DF; Tulahong A; Uddin MN; Zhao H; Zhang H
Math Biosci Eng; 2021 Jul; 18(5):6527-6551. PubMed ID: 34517544
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Identification of Vital Hub Genes and Potential Molecular Pathways of Dermatomyositis by Bioinformatics Analysis.
Ouyang X; Zeng Y; Jiang X; Xu H; Ning Y
Biomed Res Int; 2021; 2021():9991726. PubMed ID: 34580642
[TBL] [Abstract][Full Text] [Related]
13. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
[TBL] [Abstract][Full Text] [Related]
14. Identification of Hub Genes and Analysis of Prognostic Values in Hepatocellular Carcinoma by Bioinformatics Analysis.
Xu L; Tong T; Wang Z; Qiang Y; Ma F; Ma X
Am J Med Sci; 2020 Apr; 359(4):226-234. PubMed ID: 32200915
[TBL] [Abstract][Full Text] [Related]
15. Integrated Analysis of Long Non-Coding RNA and mRNA Expression Profile in Myelodysplastic Syndromes.
Wen J; Luo Q; Wu Y; Zhu S; Miao Z
Clin Lab; 2020 May; 66(5):. PubMed ID: 32390397
[TBL] [Abstract][Full Text] [Related]
16. A network-based predictive gene expression signature for recurrence risks in stage II colorectal cancer.
Yang WJ; Wang HB; Wang WD; Bai PY; Lu HX; Sun CH; Liu ZS; Guan DK; Yang GW; Zhang GL
Cancer Med; 2020 Jan; 9(1):179-193. PubMed ID: 31724326
[TBL] [Abstract][Full Text] [Related]
17. Identification of key microRNAs and genes associated with abdominal aortic aneurysm based on the gene expression profile.
Yang P; Cai Z; Wu K; Hu Y; Liu L; Liao M
Exp Physiol; 2020 Jan; 105(1):160-173. PubMed ID: 31553078
[TBL] [Abstract][Full Text] [Related]
18. Identification and validation of key genes with prognostic value in non-small-cell lung cancer via integrated bioinformatics analysis.
Wang L; Qu J; Liang Y; Zhao D; Rehman FU; Qin K; Zhang X
Thorac Cancer; 2020 Apr; 11(4):851-866. PubMed ID: 32059076
[TBL] [Abstract][Full Text] [Related]
19. An integrative bioinformatics analysis of microarray data for identifying hub genes as diagnostic biomarkers of preeclampsia.
Liu K; Fu Q; Liu Y; Wang C
Biosci Rep; 2019 Sep; 39(9):. PubMed ID: 31416885
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
