244 related articles for article (PubMed ID: 28713995)
1. Bioinformatic analysis of computational identified differentially expressed genes in tumor stoma of pregnancy‑associated breast cancer.
Zhou Q; Sun E; Ling L; Liu X; Zhang M; Yin H; Lu C
Mol Med Rep; 2017 Sep; 16(3):3345-3350. PubMed ID: 28713995
[TBL] [Abstract][Full Text] [Related]
2. Molecular mechanisms of pathogenesis in hepatocellular carcinoma revealed by RNA‑sequencing.
Liu Y; Yang Z; Du F; Yang Q; Hou J; Yan X; Geng Y; Zhao Y; Wang H
Mol Med Rep; 2017 Nov; 16(5):6674-6682. PubMed ID: 28901494
[TBL] [Abstract][Full Text] [Related]
3. Molecular mechanisms of breast cancer metastasis by gene expression profile analysis.
Zheng T; Wang A; Hu D; Wang Y
Mol Med Rep; 2017 Oct; 16(4):4671-4677. PubMed ID: 28791367
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Identification of differentially expressed genes regulated by molecular signature in breast cancer-associated fibroblasts by bioinformatics analysis.
Vastrad B; Vastrad C; Tengli A; Iliger S
Arch Gynecol Obstet; 2018 Jan; 297(1):161-183. PubMed ID: 29063236
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. Gene expression profiling analysis of the role of miR-22 in clear cell ovarian cancer.
Zhen YB; Guo XL; Xu B; Zhao HW; Xu CJ
Neoplasma; 2016; 63(6):856-864. PubMed ID: 27565323
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Exploring the molecular mechanisms of osteosarcoma by the integrated analysis of mRNAs and miRNA microarrays.
Shen H; Wang W; Ni B; Zou Q; Lu H; Wang Z
Int J Mol Med; 2018 Jul; 42(1):21-30. PubMed ID: 29620143
[TBL] [Abstract][Full Text] [Related]
11. Microarray Analysis for Differentially Expressed Genes Between Stromal and Epithelial Cells in Development and Metastasis of Invasive Breast Cancer.
Wang R; Fu L; Li J; Zhao D; Zhao Y; Yin L
J Comput Biol; 2020 Dec; 27(12):1631-1643. PubMed ID: 32429691
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Construction of an immunorelated protein-protein interaction network for clarifying the mechanism of burn.
Gao Y; Nai W; Yang L; Lu Z; Shi P; Jin H; Wen H; Wang G
Burns; 2016 Mar; 42(2):405-13. PubMed ID: 26739088
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Identification of hub genes in chronically hypoxic myocardium using bioinformatics analysis.
Wu F; Gao F; He S; Xiao Y
Mol Med Rep; 2019 May; 19(5):3871-3881. PubMed ID: 30864710
[TBL] [Abstract][Full Text] [Related]
16. Genes related to inflammation and bone loss process in periodontitis suggested by bioinformatics methods.
Song L; Yao J; He Z; Xu B
BMC Oral Health; 2015 Sep; 15():105. PubMed ID: 26334995
[TBL] [Abstract][Full Text] [Related]
17. Identification of prostate cancer hub genes and therapeutic agents using bioinformatics approach.
Fang E; Zhang X; Wang Q; Wang D
Cancer Biomark; 2017 Dec; 20(4):553-561. PubMed ID: 28800317
[TBL] [Abstract][Full Text] [Related]
18. Bioinformatics analysis to identify key genes and pathways influencing synovial inflammation in osteoarthritis.
Lin J; Wu G; Zhao Z; Huang Y; Chen J; Fu C; Ye J; Liu X
Mol Med Rep; 2018 Dec; 18(6):5594-5602. PubMed ID: 30365099
[TBL] [Abstract][Full Text] [Related]
19. Identification of Potential Key Genes Associated with Adipogenesis through Integrated Analysis of Five Mouse Transcriptome Datasets.
Zhang S; Wang L; Li S; Zhang W; Ma X; Cheng G; Yang W; Zan L
Int J Mol Sci; 2018 Nov; 19(11):. PubMed ID: 30424473
[TBL] [Abstract][Full Text] [Related]
20. Identification of key pathogenic genes of sepsis based on the Gene Expression Omnibus database.
Lu X; Xue L; Sun W; Ye J; Zhu Z; Mei H
Mol Med Rep; 2018 Feb; 17(2):3042-3054. PubMed ID: 29257295
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
