300 related articles for article (PubMed ID: 33550915)
61. Identification of Key Genes and Pathways in Myeloma side population cells by Bioinformatics Analysis.
Yang Q; Li K; Li X; Liu J
Int J Med Sci; 2020; 17(14):2063-2076. PubMed ID: 32922167
[No Abstract] [Full Text] [Related]
62. 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]
63. POLE2 Serves as a Prognostic Biomarker and Is Associated with Immune Infiltration in Squamous Cell Lung Cancer.
Wu Z; Wang YM; Dai Y; Chen LA
Med Sci Monit; 2020 Apr; 26():e921430. PubMed ID: 32304567
[TBL] [Abstract][Full Text] [Related]
64. Screening of the prognostic targets for breast cancer based co-expression modules analysis.
Liu H; Ye H
Mol Med Rep; 2017 Oct; 16(4):4038-4044. PubMed ID: 28731166
[TBL] [Abstract][Full Text] [Related]
65. Prospective pathway signaling and prognostic values of MicroRNA-9 in ovarian cancer based on gene expression omnibus (GEO): a bioinformatics analysis.
Zuo L; Li X; Tan Y; Zhu H; Xiao M
J Ovarian Res; 2021 Feb; 14(1):29. PubMed ID: 33563317
[TBL] [Abstract][Full Text] [Related]
66. Key Genes and Prognostic Analysis in HER2+ Breast Cancer.
Weng Y; Liang W; Ji Y; Li Z; Jia R; Liang Y; Ning P; Xu Y
Technol Cancer Res Treat; 2021; 20():1533033820983298. PubMed ID: 33499770
[TBL] [Abstract][Full Text] [Related]
67. Integrated Analysis of Hub Genes and Pathways In Esophageal Carcinoma Based on NCBI's Gene Expression Omnibus (GEO) Database: A Bioinformatics Analysis.
Yu-Jing T; Wen-Jing T; Biao T
Med Sci Monit; 2020 Aug; 26():e923934. PubMed ID: 32756534
[TBL] [Abstract][Full Text] [Related]
68. 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]
69. Identification of prognostic biomarkers for breast cancer based on miRNA and mRNA co-expression network.
Yao Y; Liu R; Gao C; Zhang T; Qi L; Liu G; Zhang W; Wang X; Li J; Li J; Sun C
J Cell Biochem; 2019 Sep; 120(9):15378-15388. PubMed ID: 31037764
[TBL] [Abstract][Full Text] [Related]
70. Identification and analysis of genes associated with epithelial ovarian cancer by integrated bioinformatics methods.
Gui T; Yao C; Jia B; Shen K
PLoS One; 2021; 16(6):e0253136. PubMed ID: 34143800
[TBL] [Abstract][Full Text] [Related]
71. Potential value of MicroRNA-21 as a biomarker for predicting the prognosis of patients with breast cancer: A protocol for meta-analysis and bioinformatics analysis.
Ding Y; Wu W; Ma Z; Shao X; Zhang M; Wang Z
Medicine (Baltimore); 2021 Jun; 100(22):e25964. PubMed ID: 34087839
[TBL] [Abstract][Full Text] [Related]
72. Integrated bioinformatics analysis reveals key candidate genes and pathways in breast cancer.
Wang Y; Zhang Y; Huang Q; Li C
Mol Med Rep; 2018 Jun; 17(6):8091-8100. PubMed ID: 29693125
[TBL] [Abstract][Full Text] [Related]
73. Identification of differentially expressed genes regulated by molecular signature in breast cancer-associated fibroblasts by bioinformatics analysis.
Vastrad B; Vastrad C; Tengli A; Iliger S
Arch Gynecol Obstet; 2018 Jan; 297(1):161-183. PubMed ID: 29063236
[TBL] [Abstract][Full Text] [Related]
74. Identification of Candidate Genes Associated with Breast Cancer Prognosis.
Xu YH; Deng JL; Wang LP; Zhang HB; Tang L; Huang Y; Tang J; Wang SM; Wang G
DNA Cell Biol; 2020 Jul; 39(7):1205-1227. PubMed ID: 32456464
[TBL] [Abstract][Full Text] [Related]
75. Identification and analysis of genes associated with head and neck squamous cell carcinoma by integrated bioinformatics methods.
Jin Y; Yang Y
Mol Genet Genomic Med; 2019 Aug; 7(8):e857. PubMed ID: 31304688
[TBL] [Abstract][Full Text] [Related]
76. 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]
77. Biomarker identification and trans-regulatory network analyses in esophageal adenocarcinoma and Barrett's esophagus.
Lv J; Guo L; Wang JH; Yan YZ; Zhang J; Wang YY; Yu Y; Huang YF; Zhao HP
World J Gastroenterol; 2019 Jan; 25(2):233-244. PubMed ID: 30670912
[TBL] [Abstract][Full Text] [Related]
78. [Screening core genes and cyclin B2 as a potential diagnosis, treatment and prognostic biomarker of hepatocellular carcinoma based on bioinformatics analysis].
Yang SY; Ren H; Li CF; Tang H
Zhonghua Gan Zang Bing Za Zhi; 2020 Sep; 28(9):773-783. PubMed ID: 33053978
[No Abstract] [Full Text] [Related]
79. 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]
80. High SET Domain Bifurcated 1 (SETDB1) Expression Predicts Poor Prognosis in Breast Carcinoma.
Zhou Z; Wu B; Tang X; Yang W; Zou Q; Wang H
Med Sci Monit; 2020 Apr; 26():e922982. PubMed ID: 32305991
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]