166 related articles for article (PubMed ID: 35485356)
21. 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]
22. Identification of Potential Biomarkers for Thyroid Cancer Using Bioinformatics Strategy: A Study Based on GEO Datasets.
Shen Y; Dong S; Liu J; Zhang L; Zhang J; Zhou H; Dong W
Biomed Res Int; 2020; 2020():9710421. PubMed ID: 32337286
[TBL] [Abstract][Full Text] [Related]
23. Hub genes and pathways in gastric cancer: A comparison between studies that used normal tissues adjacent to the tumour and studies that used healthy tissues as calibrator.
Sadegh K; Ahmadi A
IET Syst Biol; 2023 Jun; 17(3):131-141. PubMed ID: 37118990
[TBL] [Abstract][Full Text] [Related]
24. Identification of core genes and outcomes in hepatocellular carcinoma by bioinformatics analysis.
Shen S; Kong J; Qiu Y; Yang X; Wang W; Yan L
J Cell Biochem; 2019 Jun; 120(6):10069-10081. PubMed ID: 30525236
[TBL] [Abstract][Full Text] [Related]
25. Identification of potential hub genes of gastric cancer.
Zhou XD; Qu YW; Wang L; Jia FH; Chen P; Wang YP; Liu HF
Medicine (Baltimore); 2022 Oct; 101(41):e30741. PubMed ID: 36254003
[TBL] [Abstract][Full Text] [Related]
26. Screening and Identification of Key Biomarkers in Inflammatory Breast Cancer Through Integrated Bioinformatic Analyses.
Wu J; Lv Q; Huang H; Zhu M; Meng D
Genet Test Mol Biomarkers; 2020 Aug; 24(8):484-491. PubMed ID: 32598242
[No Abstract] [Full Text] [Related]
27. Identification of survival-associated biomarkers based on three datasets by bioinformatics analysis in gastric cancer.
Yin LK; Yuan HY; Liu JJ; Xu XL; Wang W; Bai XY; Wang P
World J Clin Cases; 2023 Jul; 11(20):4763-4787. PubMed ID: 37584004
[TBL] [Abstract][Full Text] [Related]
28. Identification of differentially expressed genes associated with the pathogenesis of gastric cancer by bioinformatics analysis.
Abdolahi F; Shahraki A; Sheervalilou R; Mortazavi SS
BMC Med Genomics; 2023 Dec; 16(1):311. PubMed ID: 38041130
[TBL] [Abstract][Full Text] [Related]
29. [Screening of differentially expressed genes in gastric cancer based on GEO database and function and pathway enrichment analysis].
Liang Y; Lai Y; Yuan Y; Yuan W; Zhang X; Zhang B; Lu Z
Nan Fang Yi Ke Da Xue Xue Bao; 2024 Mar; 44(3):605-616. PubMed ID: 38597453
[TBL] [Abstract][Full Text] [Related]
30. Identification of key regulators of pancreatic ductal adenocarcinoma using bioinformatics analysis of microarray data.
Li N; Zhao X; You S
Medicine (Baltimore); 2019 Jan; 98(2):e14074. PubMed ID: 30633213
[TBL] [Abstract][Full Text] [Related]
31. Identification of six candidate genes for endometrial carcinoma by bioinformatics analysis.
Zhu Y; Shi L; Chen P; Zhang Y; Zhu T
World J Surg Oncol; 2020 Jul; 18(1):161. PubMed ID: 32641130
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. Key Genes Associated with Prognosis and Tumor Infiltrating Immune Cells in Gastric Cancer Patients Identified by Cross-Database Analysis.
Zhang T; Wang BF; Wang XY; Xiang L; Zheng P; Li HY; Tao PX; Wang DF; Gu BH; Chen H
Cancer Biother Radiopharm; 2020 Nov; 35(9):696-710. PubMed ID: 32401038
[No Abstract] [Full Text] [Related]
34. 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]
35. 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]
36. 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]
37. Bioinformatics analysis identified hub genes in prostate cancer tumorigenesis and metastasis.
Gu P; Yang D; Zhu J; Zhang M; He X
Math Biosci Eng; 2021 Apr; 18(4):3180-3196. PubMed ID: 34198380
[TBL] [Abstract][Full Text] [Related]
38. Screening the Biomarkers and Related Medicines for Gastric Adenocarcinoma.
Lin J; Xu N; An W
J Coll Physicians Surg Pak; 2024 Mar; 34(3):290-295. PubMed ID: 38462863
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. Identification and Analysis of Key Genes Driving Gastric Cancer Through Bioinformatics.
Liu Z; Liu S; Guo J; Sun L; Wang S; Wang Y; Qiu W; Lv J
Genet Test Mol Biomarkers; 2021 Jan; 25(1):1-11. PubMed ID: 33470887
[No Abstract] [Full Text] [Related]
[Previous] [Next] [New Search]
