113 related articles for article (PubMed ID: 32058945)
1. Insights regarding novel biomarkers and the pathogenesis of primary colorectal carcinoma based on bioinformatic analysis.
Wang YR; Meng LB; Su F; Qiu Y; Shi JH; Xu X; Luo QF
Comput Biol Chem; 2020 Apr; 85():107229. PubMed ID: 32058945
[TBL] [Abstract][Full Text] [Related]
2. CLCA4 and MS4A12 as the significant gene biomarkers of primary colorectal cancer.
Han J; Zhang X; Liu Y; Jing L; Liu YB; Feng L
Biosci Rep; 2020 Aug; 40(8):. PubMed ID: 32797167
[TBL] [Abstract][Full Text] [Related]
3. The identification of a common different gene expression signature in patients with colorectal cancer.
Zhao ZW; Fan XX; Yang LL; Song JJ; Fang SJ; Tu JF; Chen MJ; Zheng LY; Wu FZ; Zhang DK; Ying XH; Ji JS
Math Biosci Eng; 2019 Apr; 16(4):2942-2958. PubMed ID: 31137244
[TBL] [Abstract][Full Text] [Related]
4. Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments.
Zhang T; Guo J; Gu J; Wang Z; Wang G; Li H; Wang J
Oncol Rep; 2019 Jan; 41(1):279-291. PubMed ID: 30542696
[TBL] [Abstract][Full Text] [Related]
5. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
6. Identification of biomarkers for the diagnosis and treatment of primary colorectal cancer based on microarray technology.
Zheng ZG; Ma BQ; Xiao Y; Wang TX; Yu T; Huo YH; Wang QQ; Shan MJ; Meng LB; Han J
Transl Cancer Res; 2020 May; 9(5):3453-3467. PubMed ID: 35117711
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Hub Genes and Key Pathway Identification in Colorectal Cancer Based on Bioinformatic Analysis.
Lv J; Li L
Biomed Res Int; 2019; 2019():1545680. PubMed ID: 31781593
[TBL] [Abstract][Full Text] [Related]
9. Integrative Gene Expression Profiling Analysis to Investigate Potential Prognostic Biomarkers for Colorectal Cancer.
Liu X; Bing Z; Wu J; Zhang J; Zhou W; Ni M; Meng Z; Liu S; Tian J; Zhang X; Li Y; Jia S; Guo S
Med Sci Monit; 2020 Jan; 26():e918906. PubMed ID: 31893510
[TBL] [Abstract][Full Text] [Related]
10. Identification of biomarkers associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis.
Chen L; Lu D; Sun K; Xu Y; Hu P; Li X; Xu F
Gene; 2019 Apr; 692():119-125. PubMed ID: 30654001
[TBL] [Abstract][Full Text] [Related]
11. Prediction and Validation of Hub Genes Associated with Colorectal Cancer by Integrating PPI Network and Gene Expression Data.
Xiong Y; You W; Wang R; Peng L; Fu Z
Biomed Res Int; 2017; 2017():2421459. PubMed ID: 29209625
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Bioinformatic identification of candidate biomarkers and related transcription factors in nasopharyngeal carcinoma.
Ye Z; Wang F; Yan F; Wang L; Li B; Liu T; Hu F; Jiang M; Li W; Fu Z
World J Surg Oncol; 2019 Apr; 17(1):60. PubMed ID: 30935420
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Screening key genes and signaling pathways in colorectal cancer by integrated bioinformatics analysis.
Yu C; Chen F; Jiang J; Zhang H; Zhou M
Mol Med Rep; 2019 Aug; 20(2):1259-1269. PubMed ID: 31173250
[TBL] [Abstract][Full Text] [Related]
16. Identification of key genes and pathways of thyroid cancer by integrated bioinformatics analysis.
Liu L; He C; Zhou Q; Wang G; Lv Z; Liu J
J Cell Physiol; 2019 Dec; 234(12):23647-23657. PubMed ID: 31169306
[TBL] [Abstract][Full Text] [Related]
17. Identification of Hepatocellular Carcinoma-Related Potential Genes and Pathways Through Bioinformatic-Based Analyses.
Wan Z; Zhang X; Luo Y; Zhao B
Genet Test Mol Biomarkers; 2019 Nov; 23(11):766-777. PubMed ID: 31633428
[No Abstract] [Full Text] [Related]
18. 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]
19. Identification of key pathways and genes in colorectal cancer using bioinformatics analysis.
Liang B; Li C; Zhao J
Med Oncol; 2016 Oct; 33(10):111. PubMed ID: 27581154
[TBL] [Abstract][Full Text] [Related]
20. Identifying hepatocellular carcinoma-related hub genes by bioinformatics analysis and CYP2C8 is a potential prognostic biomarker.
Li C; Zhou D; Jiang X; Liu M; Tang H; Mei Z
Gene; 2019 May; 698():9-18. PubMed ID: 30825595
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]