176 related articles for article (PubMed ID: 28943905)
41. Combined analysis of DNA methylation and gene expression profiles of osteosarcoma identified several prognosis signatures.
Tian W; Li Y; Zhang J; Li J; Gao J
Gene; 2018 Apr; 650():7-14. PubMed ID: 29407229
[TBL] [Abstract][Full Text] [Related]
42. Investigation of differentially-expressed microRNAs and genes in cervical cancer using an integrated bioinformatics analysis.
Xu Z; Zhou Y; Shi F; Cao Y; Dinh TLA; Wan J; Zhao M
Oncol Lett; 2017 Apr; 13(4):2784-2790. PubMed ID: 28454467
[TBL] [Abstract][Full Text] [Related]
43. Examining the biomarkers and molecular mechanisms of medulloblastoma based on bioinformatics analysis.
Yang B; Dai JX; Pan YB; Ma YB; Chu SH
Oncol Lett; 2019 Jul; 18(1):433-441. PubMed ID: 31289514
[TBL] [Abstract][Full Text] [Related]
44. Gene function analysis in osteosarcoma based on microarray gene expression profiling.
Zhao L; Zhang J; Tan H; Wang W; Liu Y; Song R; Wang L
Int J Clin Exp Med; 2015; 8(7):10401-10. PubMed ID: 26379830
[TBL] [Abstract][Full Text] [Related]
45. Identification of potentially critical differentially methylated genes in nasopharyngeal carcinoma: A comprehensive analysis of methylation profiling and gene expression profiling.
Hui L; Zhang J; Ding X; Guo X; Jang X
Oncol Lett; 2017 Dec; 14(6):7171-7178. PubMed ID: 29344148
[TBL] [Abstract][Full Text] [Related]
46. Comprehensive analyses of DNA methylation and gene expression profiles of Kawasaki disease.
Chang D; Qian C; Li H; Feng H
J Cell Biochem; 2019 Aug; 120(8):13001-13011. PubMed ID: 30861201
[TBL] [Abstract][Full Text] [Related]
47. Long non-coding RNAs and genes contributing to the generation of cancer stem cells in hepatocellular carcinoma identified by RNA sequencing analysis.
Cao L; Zhang Q; Cheng S; Chen Z; Hua Z; Yang J; Liu D; Cui N
Oncol Rep; 2016 Nov; 36(5):2619-2624. PubMed ID: 27667473
[TBL] [Abstract][Full Text] [Related]
48. Microarray gene expression profiling and bioinformatics analysis reveal key differentially expressed genes in clival and sacral chordoma cell lines.
Li G; Cai L; Zhou L
Neurol Res; 2019 Jun; 41(6):554-561. PubMed ID: 30821656
[TBL] [Abstract][Full Text] [Related]
49. Aberrant expression of cell cycle and material metabolism related genes contributes to hepatocellular carcinoma occurrence.
Yan H; Li Z; Shen Q; Wang Q; Tian J; Jiang Q; Gao L
Pathol Res Pract; 2017 Apr; 213(4):316-321. PubMed ID: 28238542
[TBL] [Abstract][Full Text] [Related]
50. Potential therapeutic targets and small molecular drugs for pediatric B-precursor acute lymphoblastic leukemia treatment based on microarray data.
Kong L; Zhang X; Li C; Zhou L
Oncol Lett; 2017 Aug; 14(2):1543-1549. PubMed ID: 28789378
[TBL] [Abstract][Full Text] [Related]
51. Exploration of the mechanism of colorectal cancer metastasis using microarray analysis.
Chen S; Wang Y; Zhang L; Su Y; Zhang M; Wang J; Zhang X
Oncol Lett; 2017 Dec; 14(6):6671-6677. PubMed ID: 29163694
[TBL] [Abstract][Full Text] [Related]
52. 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]
53. Combined analysis of gene expression, miRNA expression and DNA methylation profiles of osteosarcoma.
Zhang W; Han S; Sun K
Oncol Rep; 2017 Feb; 37(2):1175-1181. PubMed ID: 28000890
[TBL] [Abstract][Full Text] [Related]
54. Identification of crucial genes associated with esophageal squamous cell carcinoma by gene expression profile analysis.
Wang X; Li G; Luo Q; Gan C
Oncol Lett; 2018 Jun; 15(6):8983-8990. PubMed ID: 29844815
[TBL] [Abstract][Full Text] [Related]
55. 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]
56. Prognostic factor identification by analysis of the gene expression and DNA methylation data in glioma.
Wei B; Wang R; Wang L; Du C
Math Biosci Eng; 2020 May; 17(4):3909-3924. PubMed ID: 32987560
[No Abstract] [Full Text] [Related]
57. Identification of therapeutic targets for Alzheimer's disease via differentially expressed gene and weighted gene co-expression network analyses.
Jia Y; Nie K; Li J; Liang X; Zhang X
Mol Med Rep; 2016 Nov; 14(5):4844-4848. PubMed ID: 27748870
[TBL] [Abstract][Full Text] [Related]
58. Identification of key genes and pathways in Ewing's sarcoma using bioinformatics analysis.
Yan C; Wang Y; Wang Q; Feng X; Wang L; Bu Z; Lu B; Jiang J
J BUON; 2018; 23(5):1472-1480. PubMed ID: 30570875
[TBL] [Abstract][Full Text] [Related]
59. Combined Analysis of ChIP Sequencing and Gene Expression Dataset in Breast Cancer.
Liu P; Jiang W; Zhou S; Gao J; Zhang H
Pathol Oncol Res; 2017 Apr; 23(2):361-368. PubMed ID: 27654269
[TBL] [Abstract][Full Text] [Related]
60. Identification of candidate genes for necrotizing enterocolitis based on microarray data.
Chen G; Li Y; Su Y; Zhou L; Zhang H; Shen Q; Du C; Li H; Wen Z; Xia Y; Tang W
Gene; 2018 Jun; 661():152-159. PubMed ID: 29605607
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]