911 related articles for article (PubMed ID: 31182966)
1. Transcriptome profiling revealed multiple genes and ECM-receptor interaction pathways that may be associated with breast cancer.
Bao Y; Wang L; Shi L; Yun F; Liu X; Chen Y; Chen C; Ren Y; Jia Y
Cell Mol Biol Lett; 2019; 24():38. PubMed ID: 31182966
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Identification of genes and pathways related to breast cancer metastasis in an integrated cohort.
Wang L; Mo C; Wang L; Cheng M
Eur J Clin Invest; 2021 Jul; 51(7):e13525. PubMed ID: 33615456
[TBL] [Abstract][Full Text] [Related]
5. The RNA sequencing results revealed the expression of different genes and signaling pathways during chemotherapy resistance in peripheral T-cell lymphoma.
Lan Y; Tao W; Ma L; Wang X; Li H; Du Y; Yang R; Wu S; Ou Y; Liu X; Huang Y; Zhou Y
BMC Med Genomics; 2024 Mar; 17(1):74. PubMed ID: 38468267
[TBL] [Abstract][Full Text] [Related]
6. Bioinformatics analysis of gene expression profile data to screen key genes involved in intracranial aneurysms.
Guo T; Hou D; Yu D
Mol Med Rep; 2019 Nov; 20(5):4415-4424. PubMed ID: 31545495
[TBL] [Abstract][Full Text] [Related]
7. Effect of BRCA1 on the Concurrent Chemoradiotherapy Resistance of Cervical Squamous Cell Carcinoma Based on Transcriptome Sequencing Analysis.
Wen X; Liu S; Cui M
Biomed Res Int; 2020; 2020():3598417. PubMed ID: 32685473
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Identification of Key Pathways and Genes in Anaplastic Thyroid Carcinoma via Integrated Bioinformatics Analysis.
Hu S; Liao Y; Chen L
Med Sci Monit; 2018 Sep; 24():6438-6448. PubMed ID: 30213925
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer.
Yang C; Gong A
Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215
[No Abstract] [Full Text] [Related]
12. 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]
13. 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]
14. Extracellular matrix-related genes play an important role in the progression of NMIBC to MIBC: a bioinformatics analysis study.
Zhang H; Shan G; Song J; Tian Y; An LY; Ban Y; Luo GH
Biosci Rep; 2020 May; 40(5):. PubMed ID: 32391563
[TBL] [Abstract][Full Text] [Related]
15. Identification of Key Genes and Pathways in Tongue Squamous Cell Carcinoma Using Bioinformatics Analysis.
Zhang H; Liu J; Fu X; Yang A
Med Sci Monit; 2017 Dec; 23():5924-5932. PubMed ID: 29240723
[TBL] [Abstract][Full Text] [Related]
16. RNA Sequencing for Gene Expression Profiles in Peripheral Blood Mononuclear Cells with Ankylosing Spondylitis RNA.
Huang D; Liu J; Cao Y; Wan L; Jiang H; Sun Y; Wen J
Biomed Res Int; 2020; 2020():5304578. PubMed ID: 32596323
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Comparative Transcriptome Analysis of Adipose Tissues Reveals that ECM-Receptor Interaction Is Involved in the Depot-Specific Adipogenesis in Cattle.
Lee HJ; Jang M; Kim H; Kwak W; Park W; Hwang JY; Lee CK; Jang GW; Park MN; Kim HC; Jeong JY; Seo KS; Kim H; Cho S; Lee BY
PLoS One; 2013; 8(6):e66267. PubMed ID: 23805208
[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. Transcriptome analysis of the mammary gland from GH transgenic goats during involution.
Lin J; Bao ZK; Zhang Q; Hu WW; Yu QH; Yang Q
Gene; 2015 Jul; 565(2):228-34. PubMed ID: 25865296
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]