301 related articles for article (PubMed ID: 25408372)
1. Identification of differently expressed genes with specific SNP Loci for breast cancer by the integration of SNP and gene expression profiling analyses.
Yuan P; Liu D; Deng M; Liu J; Wang J; Zhang L; Liu Q; Zhang T; Chen Y; Jin G
Pathol Oncol Res; 2015 Apr; 21(2):469-75. PubMed ID: 25408372
[TBL] [Abstract][Full Text] [Related]
2. Identifying novel biomarkers of gastric cancer through integration analysis of single nucleotide polymorphisms and gene expression profile.
Wang T; Xu Y; Hou P
Int J Biol Markers; 2015 Jul; 30(3):e321-6. PubMed ID: 25982683
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Molecular mechanisms associated with breast cancer based on integrated gene expression profiling by bioinformatics analysis.
Wu D; Han B; Guo L; Fan Z
J Obstet Gynaecol; 2016 Jul; 36(5):615-21. PubMed ID: 26804550
[TBL] [Abstract][Full Text] [Related]
5. Effects of β-catenin on differentially expressed genes in multiple myeloma.
Chen H; Chai W; Li B; Ni M; Zhang GQ; Liu HW; Zhang Z; Chen JY; Zhou YG; Wang Y
J Huazhong Univ Sci Technolog Med Sci; 2015 Aug; 35(4):546-552. PubMed ID: 26223925
[TBL] [Abstract][Full Text] [Related]
6. Integrated gene expression profiling and chromatin immunoprecipitation followed by sequencing: Analysis of the C-terminal binding protein in breast cancer.
Chen L; Yang Y; Xu L; Liu R; Wang Y
J Obstet Gynaecol Res; 2017 Sep; 43(9):1472-1480. PubMed ID: 28613020
[TBL] [Abstract][Full Text] [Related]
7. Upregulated cyclins may be novel genes for triple-negative breast cancer based on bioinformatic analysis.
Lu Y; Yang G; Xiao Y; Zhang T; Su F; Chang R; Ling X; Bai Y
Breast Cancer; 2020 Sep; 27(5):903-911. PubMed ID: 32338339
[TBL] [Abstract][Full Text] [Related]
8. Screening of the prognostic targets for breast cancer based co-expression modules analysis.
Liu H; Ye H
Mol Med Rep; 2017 Oct; 16(4):4038-4044. PubMed ID: 28731166
[TBL] [Abstract][Full Text] [Related]
9. Identification of key genes involved in HER2-positive breast cancer.
Zhong BL; Bian LJ; Wang GM; Zhou YF; Chen YY; Peng F
Eur Rev Med Pharmacol Sci; 2016; 20(4):664-72. PubMed ID: 26957268
[TBL] [Abstract][Full Text] [Related]
10. Bioinformatics Analysis Identified Key Molecular Changes in Bladder Cancer Development and Recurrence.
Chen Q; Hu J; Deng J; Fu B; Guo J
Biomed Res Int; 2019; 2019():3917982. PubMed ID: 31828101
[No Abstract] [Full Text] [Related]
11. High-efficient Screening Method for Identification of Key Genes in Breast Cancer Through Microarray and Bioinformatics.
Liu Z; Liang G; Tan L; Su AN; Jiang W; Gong C
Anticancer Res; 2017 Aug; 37(8):4329-4335. PubMed ID: 28739725
[TBL] [Abstract][Full Text] [Related]
12. Bioinformatics analysis of aggressive behavior of breast cancer via an integrated gene regulatory network.
Yang X; Jia M; Li Z; Lu S; Qi X; Zhao B; Wang X; Rong Y; Shi J; Zhang Z; Xu W; Gao Y; Zhang S; Yu G
J Cancer Res Ther; 2014; 10(4):1013-8. PubMed ID: 25579546
[TBL] [Abstract][Full Text] [Related]
13. Microarray-based gene expression profiling reveals genes and pathways involved in the oncogenic function of REG3A on pancreatic cancer cells.
Xu Q; Fu R; Yin G; Liu X; Liu Y; Xiang M
Gene; 2016 Mar; 578(2):263-73. PubMed ID: 26719042
[TBL] [Abstract][Full Text] [Related]
14. Screening biomarkers of bladder cancer using combined miRNA and mRNA microarray analysis.
Jin N; Jin X; Gu X; Na W; Zhang M; Zhao R
Mol Med Rep; 2015 Aug; 12(2):3170-6. PubMed ID: 25955758
[TBL] [Abstract][Full Text] [Related]
15. Identification of biomarkers with a tumor stage-dependent expression and exploration of the mechanism involved in laryngeal squamous cell carcinoma.
Hui L; Yang N; Yang H; Guo X; Jang X
Oncol Rep; 2015 Nov; 34(5):2627-35. PubMed ID: 26323359
[TBL] [Abstract][Full Text] [Related]
16. Identification of CD20, ECM, and ITGA as Biomarkers for Osteosarcoma by Integrating Transcriptome Analysis.
Wang DW; Yu SY; Cao Y; Yang L; Liu W; Er XQ; Yao GJ; Bi ZG
Med Sci Monit; 2016 Jun; 22():2075-85. PubMed ID: 27314445
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Integrated analysis of gene expression and genomic aberration data in osteosarcoma (OS).
Xiong Y; Wu S; Du Q; Wang A; Wang Z
Cancer Gene Ther; 2015 Nov; 22(11):524-9. PubMed ID: 26427513
[TBL] [Abstract][Full Text] [Related]
19. Potential biomarkers and latent pathways for vasculitis based on latent pathway identification analysis.
Zhou T; Zhang Y; Wu P; Sun Q; Guo Y; Yang Y
Int J Rheum Dis; 2014 Jul; 17(6):671-8. PubMed ID: 24867262
[TBL] [Abstract][Full Text] [Related]
20. Bioinformatics analysis of transcription profiling of solid pseudopapillary neoplasm of the pancreas.
Zhang Y; Han X; Wu H; Zhou Y
Mol Med Rep; 2017 Aug; 16(2):1635-1642. PubMed ID: 28627654
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
