335 related articles for article (PubMed ID: 29115427)
21. Identification of Key Genes and miRNAs in Osteosarcoma Patients with Chemoresistance by Bioinformatics Analysis.
Xie B; Li Y; Zhao R; Xu Y; Wu Y; Wang J; Xia D; Han W; Chen D
Biomed Res Int; 2018; 2018():4761064. PubMed ID: 29850522
[TBL] [Abstract][Full Text] [Related]
22. Integrated analysis of differentially expressed genes and pathways in triple‑negative breast cancer.
Peng C; Ma W; Xia W; Zheng W
Mol Med Rep; 2017 Mar; 15(3):1087-1094. PubMed ID: 28075450
[TBL] [Abstract][Full Text] [Related]
23. Identification of candidate target genes of pituitary adenomas based on the DNA microarray.
Zhou W; Ma CX; Xing YZ; Yan ZY
Mol Med Rep; 2016 Mar; 13(3):2182-6. PubMed ID: 26782791
[TBL] [Abstract][Full Text] [Related]
24. Integrated analysis of DNA methylation and transcriptome profiling of polycystic ovary syndrome.
Liu L; He D; Wang Y; Sheng M
Mol Med Rep; 2020 May; 21(5):2138-2150. PubMed ID: 32323770
[TBL] [Abstract][Full Text] [Related]
25. Predicting novel genes and pathways associated with osteosarcoma by using bioinformatics analysis.
Dong B; Wang G; Yao J; Yuan P; Kang W; Zhi L; He X
Gene; 2017 Sep; 628():32-37. PubMed ID: 28687333
[TBL] [Abstract][Full Text] [Related]
26. In silico analysis of differentially expressed-aberrantly methylated genes in breast cancer for prognostic and therapeutic targets.
Gadwal A; Purohit P; Khokhar M; Vishnoi JR; Pareek P; Choudhary R; Elhence P; Banerjee M; Sharma P
Clin Exp Med; 2023 Nov; 23(7):3847-3866. PubMed ID: 37029310
[TBL] [Abstract][Full Text] [Related]
27. Identification of Core Genes and Key Pathways via Integrated Analysis of Gene Expression and DNA Methylation Profiles in Bladder Cancer.
Zhang Y; Fang L; Zang Y; Xu Z
Med Sci Monit; 2018 May; 24():3024-3033. PubMed ID: 29739919
[TBL] [Abstract][Full Text] [Related]
28. Observation of significant biomarkers in osteosarcoma via integrating module- identification method with attract.
Qi J; Ma L; Wang X; Li Y; Wang K
Cancer Biomark; 2017 Jul; 20(1):87-93. PubMed ID: 28759958
[TBL] [Abstract][Full Text] [Related]
29. Combined bioinformatics analysis reveals gene expression and DNA methylation patterns in osteoarthritis.
Song D; Qi W; Lv M; Yuan C; Tian K; Zhang F
Mol Med Rep; 2018 Jun; 17(6):8069-8078. PubMed ID: 29658578
[TBL] [Abstract][Full Text] [Related]
30. Identification of Key Genes and Pathways in Osteosarcoma by Bioinformatics Analysis.
Chen X; Zhang N; Zheng Y; Tong Z; Yang T; Kang X; He Y; Dong L
Comput Math Methods Med; 2022; 2022():7549894. PubMed ID: 35075370
[TBL] [Abstract][Full Text] [Related]
31. Identification of crucial aberrantly methylated and differentially expressed genes related to cervical cancer using an integrated bioinformatics analysis.
Ma X; Liu J; Wang H; Jiang Y; Wan Y; Xia Y; Cheng W
Biosci Rep; 2020 May; 40(5):. PubMed ID: 32368784
[TBL] [Abstract][Full Text] [Related]
32. Bioinformatics analysis of fibroblasts exposed to TGF‑β at the early proliferation phase of wound repair.
Mi B; Liu G; Zhou W; Lv H; Zha K; Liu Y; Wu Q; Liu J
Mol Med Rep; 2017 Dec; 16(6):8146-8154. PubMed ID: 28983581
[TBL] [Abstract][Full Text] [Related]
33. Integrative analyses of key genes and regulatory elements in fluoride-affected osteosarcoma.
Li M; Jin X; Guo F; Wu G; Wu L; Deng S
J Cell Biochem; 2019 Sep; 120(9):15397-15409. PubMed ID: 31037778
[TBL] [Abstract][Full Text] [Related]
34. Identification of hub-methylated differentially expressed genes in patients with gestational diabetes mellitus by multi-omic WGCNA basing epigenome-wide and transcriptome-wide profiling.
Chen M; Yan J; Han Q; Luo J; Zhang Q
J Cell Biochem; 2020 Jun; 121(5-6):3173-3184. PubMed ID: 31886571
[TBL] [Abstract][Full Text] [Related]
35. Identification of Differentially Expressed Genes Induced by Aberrant Methylation in Oral Squamous Cell Carcinomas Using Integrated Bioinformatic Analysis.
Zhang X; Feng H; Li D; Liu S; Amizuka N; Li M
Int J Mol Sci; 2018 Jun; 19(6):. PubMed ID: 29875348
[TBL] [Abstract][Full Text] [Related]
36. Integrated Genome-Wide Methylation and Expression Analyses Reveal Key Regulators in Osteosarcoma.
Wang F; Qin G; Liu J; Wang X; Ye B
Comput Math Methods Med; 2020; 2020():7067649. PubMed ID: 32855654
[TBL] [Abstract][Full Text] [Related]
37. Identification of critical genes associated with human osteosarcoma metastasis based on integrated gene expression profiling.
Fan H; Lu S; Wang S; Zhang S
Mol Med Rep; 2019 Aug; 20(2):915-930. PubMed ID: 31173206
[TBL] [Abstract][Full Text] [Related]
38. Combined analysis of DNA methylation and gene expression profiles of osteosarcoma identified several prognosis signatures.
Tian W; Li Y; Zhang J; Li J; Gao J
Gene; 2018 Apr; 650():7-14. PubMed ID: 29407229
[TBL] [Abstract][Full Text] [Related]
39. Integrated network analysis to explore the key genes regulated by parathyroid hormone receptor 1 in osteosarcoma.
Guan D; Tian H
World J Surg Oncol; 2017 Sep; 15(1):177. PubMed ID: 28934958
[TBL] [Abstract][Full Text] [Related]
40. Prognostic value of aberrantly expressed methylation genes in human hepatocellular carcinoma.
Zhen L; Ning G; Wu L; Zheng Y; Yang F; Chen T; Xu W; Liu Y; Xie C; Peng L
Biosci Rep; 2020 Oct; 40(10):. PubMed ID: 32955083
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
