177 related articles for article (PubMed ID: 34911835)
1. Identification and verification of key cancer genes associated with prognosis of colorectal cancer based on bioinformatics analysis.
Qin Y; Chen L; Chen L
Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2021 Oct; 46(10):1063-1070. PubMed ID: 34911835
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Identification of potential therapeutic targets associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis.
Sharma A; Yadav D; Rao P; Sinha S; Goswami D; Rawal RM; Shrivastava N
Comput Biol Med; 2022 Jul; 146():105688. PubMed ID: 35680454
[TBL] [Abstract][Full Text] [Related]
5. Identification of candidate biomarkers and therapeutic drugs of colorectal cancer by integrated bioinformatics analysis.
Zheng Z; Xie J; Xiong L; Gao M; Qin L; Dai C; Liang Z; Wang Y; Xue J; Wang Q; Wang W; Li X
Med Oncol; 2020 Oct; 37(11):104. PubMed ID: 33078282
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Identification of hub genes in colorectal cancer based on weighted gene co-expression network analysis and clinical data from The Cancer Genome Atlas.
Zhang Y; Luo J; Liu Z; Liu X; Ma Y; Zhang B; Chen Y; Li X; Feng Z; Yang N; Feng D; Wang L; Song X
Biosci Rep; 2021 Jul; 41(7):. PubMed ID: 34308980
[TBL] [Abstract][Full Text] [Related]
8. [Screening of differentially expressed genes for colorectal cancer and prediction of potential traditional Chinese medicine: based on bioinformatics].
Yun ZJ; Wang HJ; Yu YX; Sun ZY; Yao SK
Zhongguo Zhong Yao Za Zhi; 2022 Mar; 47(6):1666-1676. PubMed ID: 35347966
[TBL] [Abstract][Full Text] [Related]
9. Identification of potential biomarkers with colorectal cancer based on bioinformatics analysis and machine learning.
Hammad A; Elshaer M; Tang X
Math Biosci Eng; 2021 Oct; 18(6):8997-9015. PubMed ID: 34814332
[TBL] [Abstract][Full Text] [Related]
10. Identification and Interaction Analysis of Molecular Markers in Colorectal Cancer by Integrated Bioinformatics Analysis.
Han B; Feng D; Yu X; Zhang Y; Liu Y; Zhou L
Med Sci Monit; 2018 Aug; 24():6059-6069. PubMed ID: 30168505
[TBL] [Abstract][Full Text] [Related]
11. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
[No Abstract] [Full Text] [Related]
12. Identification of novel biomarkers and small molecule drugs in human colorectal cancer by microarray and bioinformatics analysis.
Chen J; Wang Z; Shen X; Cui X; Guo Y
Mol Genet Genomic Med; 2019 Jul; 7(7):e00713. PubMed ID: 31087508
[TBL] [Abstract][Full Text] [Related]
13. Identification of hub genes and pathways in lung metastatic colorectal cancer.
Dai W; Guo C; Wang Y; Li Y; Xie R; Wu J; Yao B; Xie D; He L; Li Y; Huang H; Wang Y; Liu S
BMC Cancer; 2023 Apr; 23(1):323. PubMed ID: 37024866
[TBL] [Abstract][Full Text] [Related]
14. Identification of latent biomarkers in connection with progression and prognosis in oral cancer by comprehensive bioinformatics analysis.
Reyimu A; Chen Y; Song X; Zhou W; Dai J; Jiang F
World J Surg Oncol; 2021 Aug; 19(1):240. PubMed ID: 34384424
[TBL] [Abstract][Full Text] [Related]
15. Identification of Potential Key Genes and Prognostic Biomarkers of Lung Cancer Based on Bioinformatics.
Cai K; Xie Z; Liu Y; Wu J; Song H; Liu W; Wang X; Xiong Y; Gan S; Sun Y
Biomed Res Int; 2023; 2023():2152432. PubMed ID: 36714024
[TBL] [Abstract][Full Text] [Related]
16. Identification and verification of three key genes associated with survival and prognosis of COAD patients via integrated bioinformatics analysis.
Liu Y; Li C; Dong L; Chen X; Fan R
Biosci Rep; 2020 Sep; 40(9):. PubMed ID: 32936304
[TBL] [Abstract][Full Text] [Related]
17. Identification of potential hub genes via bioinformatics analysis combined with experimental verification in colorectal cancer.
Zhou H; Yang Z; Yue J; Chen Y; Chen T; Mu T; Liu H; Bi X
Mol Carcinog; 2020 Apr; 59(4):425-438. PubMed ID: 32064687
[TBL] [Abstract][Full Text] [Related]
18. Identification of Key MicroRNAs and Genes between Colorectal Adenoma and Colorectal Cancer via Deep Learning on GEO Databases and Bioinformatics.
Zhang X; Jin M; Liu F; Qu H; Chen C
Contrast Media Mol Imaging; 2023; 2023():6457152. PubMed ID: 36793496
[TBL] [Abstract][Full Text] [Related]
19. Bioinformatics Analysis of Prognosis-Related Genes and Expression of CXCL8 in Colorectal Cancer.
Yao Z; Pan X; Chen W; Pei Y; Chen C; Huang Y; Liu S; Liu Y
Biomed Res Int; 2022; 2022():3149887. PubMed ID: 35845924
[TBL] [Abstract][Full Text] [Related]
20. [Liver Tissue-specific Genes IGFALS,CYP3A4,SLC22A1 and CYP2E1 May be Associated with Poor Prognosis of Liver Cancer].
Zhang YY; Cao J; Chen XT; Chen JH; Zheng YB
Zhongguo Yi Xue Ke Xue Yuan Xue Bao; 2021 Jun; 43(3):371-381. PubMed ID: 34238413
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
