113 related articles for article (PubMed ID: 32058945)
21. Identification and Verification of Core Genes in Colorectal Cancer.
Xu H; Ma Y; Zhang J; Gu J; Jing X; Lu S; Fu S; Huo J
Biomed Res Int; 2020; 2020():8082697. PubMed ID: 32462020
[TBL] [Abstract][Full Text] [Related]
22. Integrated Bioinformatics Analysis Identifies Hub Genes Associated with the Pathogenesis and Prognosis of Esophageal Squamous Cell Carcinoma.
Zhang H; Zhong J; Tu Y; Liu B; Chen Z; Luo Y; Tang Y; Xiao F; Zhong J
Biomed Res Int; 2019; 2019():2615921. PubMed ID: 31950035
[TBL] [Abstract][Full Text] [Related]
23. Comprehensive Analysis of Core Genes and Potential Mechanisms in Rectal Cancer.
Liu BX; Huang GJ; Cheng HB
J Comput Biol; 2019 Nov; 26(11):1262-1277. PubMed ID: 31211595
[No Abstract] [Full Text] [Related]
24. Prediction of Target Genes and Pathways Associated With Cetuximab Insensitivity in Colorectal Cancer.
Yu C; Hong H; Lu J; Zhao X; Hu W; Zhang S; Zong Y; Mao Z; Li J; Wang M; Feng B; Sun J; Zheng M
Technol Cancer Res Treat; 2018 Jan; 17():1533033818806905. PubMed ID: 30336768
[TBL] [Abstract][Full Text] [Related]
25. Application of weighted gene co‑expression network analysis to explore the potential diagnostic biomarkers for colorectal cancer.
Qin L; Zeng J; Shi N; Chen L; Wang L
Mol Med Rep; 2020 Jun; 21(6):2533-2543. PubMed ID: 32323816
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Differentially Expressed Gene Screening, Biological Function Enrichment, and Correlation with Prognosis in Non-Small Cell Lung Cancer.
Huang H; Huang Q; Tang T; Zhou X; Gu L; Lu X; Liu F
Med Sci Monit; 2019 Jun; 25():4333-4341. PubMed ID: 31181055
[TBL] [Abstract][Full Text] [Related]
28. 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]
29. Identification and Analysis of Novel Biomarkers Involved in Chromophobe Renal Cell Carcinoma by Integrated Bioinformatics Analyses.
Zhang W; Xu Y; Zhang J; Wu J
Biomed Res Int; 2020; 2020():2671281. PubMed ID: 32090070
[TBL] [Abstract][Full Text] [Related]
30. Identification for Exploring Underlying Pathogenesis and Therapy Strategy of Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
Xu Z; Jiang P; He S
Med Sci Monit; 2019 Dec; 25():9216-9226. PubMed ID: 31794546
[TBL] [Abstract][Full Text] [Related]
31. Identification of Genes Related to Clinicopathological Characteristics and Prognosis of Patients with Colorectal Cancer.
Gao X; Yang J
DNA Cell Biol; 2020 Apr; 39(4):690-699. PubMed ID: 32027181
[TBL] [Abstract][Full Text] [Related]
32. Delineating the underlying molecular mechanisms and key genes involved in metastasis of colorectal cancer via bioinformatics analysis.
Qi C; Chen Y; Zhou Y; Huang X; Li G; Zeng J; Ruan Z; Xie X; Zhang J
Oncol Rep; 2018 May; 39(5):2297-2305. PubMed ID: 29517105
[TBL] [Abstract][Full Text] [Related]
33. Identification of Critical Genes and Five Prognostic Biomarkers Associated with Colorectal Cancer.
Huang Z; Yang Q; Huang Z
Med Sci Monit; 2018 Jul; 24():4625-4633. PubMed ID: 29973580
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. 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]
36. 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]
37. Identification of hub genes and regulators associated with pancreatic ductal adenocarcinoma based on integrated gene expression profile analysis.
Shang M; Zhang L; Chen X; Zheng S
Discov Med; 2019 Sep; 28(153):159-172. PubMed ID: 31926587
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. Identification of key genes and pathways in pelvic organ prolapse based on gene expression profiling by bioinformatics analysis.
Zhou Q; Hong L; Wang J
Arch Gynecol Obstet; 2018 May; 297(5):1323-1332. PubMed ID: 29546564
[TBL] [Abstract][Full Text] [Related]
40. Bioinformatics Analysis of Key Genes and Pathways in Colorectal Cancer.
Qi Y; Qi H; Liu Z; He P; Li B
J Comput Biol; 2019 Apr; 26(4):364-375. PubMed ID: 30810359
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
