214 related articles for article (PubMed ID: 32176635)
1. Integrative analyses of molecular pathways and key candidate biomarkers associated with colorectal cancer.
Pirim D
Cancer Biomark; 2020; 27(4):555-568. PubMed ID: 32176635
[TBL] [Abstract][Full Text] [Related]
2. Employing bioinformatics analysis to identify hub genes and microRNAs involved in colorectal cancer.
Ebadfardzadeh J; Kazemi M; Aghazadeh A; Rezaei M; Shirvaliloo M; Sheervalilou R
Med Oncol; 2021 Aug; 38(9):114. PubMed ID: 34390411
[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. 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]
5. Identification and Integrated Analysis of Key Biomarkers for Diagnosis and Prognosis of Non-Small Cell Lung Cancer.
Liu X; Liu X; Li J; Ren F
Med Sci Monit; 2019 Dec; 25():9280-9289. PubMed ID: 31805030
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Identification of Prognostic Biomarker Signatures and Candidate Drugs in Colorectal Cancer: Insights from Systems Biology Analysis.
Rahman MR; Islam T; Gov E; Turanli B; Gulfidan G; Shahjaman M; Banu NA; Mollah MNH; Arga KY; Moni MA
Medicina (Kaunas); 2019 Jan; 55(1):. PubMed ID: 30658502
[TBL] [Abstract][Full Text] [Related]
8. Transcriptomic Signatures in Colorectal Cancer Progression.
Ershov P; Poyarkov S; Konstantinova Y; Veselovsky E; Makarova A
Curr Mol Med; 2023; 23(3):239-249. PubMed ID: 35490318
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. 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]
12. In silico identification of key genes and signaling pathways targeted by a panel of signature microRNAs in prostate cancer.
Baruah MM; Sharma N
Med Oncol; 2019 Apr; 36(5):43. PubMed ID: 30937635
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Novel diagnostic and prognostic biomarkers of colorectal cancer: Capable to overcome the heterogeneity-specific barrier and valid for global applications.
Hameed Y; Usman M; Liang S; Ejaz S
PLoS One; 2021; 16(9):e0256020. PubMed ID: 34473751
[TBL] [Abstract][Full Text] [Related]
15. Construction of an miRNA-mRNA regulatory network in colorectal cancer with bioinformatics methods.
Su Y; Zhang M; Zhang L; Chen S; Zhang D; Zhang X
Anticancer Drugs; 2019 Jul; 30(6):588-595. PubMed ID: 30601194
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Identification of potential crucial genes and key pathways shared in Inflammatory Bowel Disease and cervical cancer by machine learning and integrated bioinformatics.
Nguyen TB; Do DN; Nguyen-Thi ML; Hoang-The H; Tran TT; Nguyen-Thanh T
Comput Biol Med; 2022 Oct; 149():105996. PubMed ID: 36049413
[TBL] [Abstract][Full Text] [Related]
18. Screening of hub genes and pathways in colorectal cancer with microarray technology.
Wang Y; Zheng T
Pathol Oncol Res; 2014 Jul; 20(3):611-8. PubMed ID: 24504536
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]