322 related articles for article (PubMed ID: 28895406)
21. Integrated analysis of microRNA and gene expression profiles reveals a functional regulatory module associated with liver fibrosis.
Chen W; Zhao W; Yang A; Xu A; Wang H; Cong M; Liu T; Wang P; You H
Gene; 2017 Dec; 636():87-95. PubMed ID: 28919164
[TBL] [Abstract][Full Text] [Related]
22. Integrated network analysis to explore the key genes regulated by parathyroid hormone receptor 1 in osteosarcoma.
Guan D; Tian H
World J Surg Oncol; 2017 Sep; 15(1):177. PubMed ID: 28934958
[TBL] [Abstract][Full Text] [Related]
23. Identification of breast cancer mechanism based on weighted gene coexpression network analysis.
Guo X; Xiao H; Guo S; Dong L; Chen J
Cancer Gene Ther; 2017 Aug; 24(8):333-341. PubMed ID: 28799567
[TBL] [Abstract][Full Text] [Related]
24. Screening the key microRNAs and transcription factors in prostate cancer based on microRNA functional synergistic relationships.
Feng F; Wu J; Gao Z; Yu S; Cui Y
Medicine (Baltimore); 2017 Jan; 96(1):e5679. PubMed ID: 28072703
[TBL] [Abstract][Full Text] [Related]
25. Integrated analysis of competing endogenous RNA (ceRNA) networks in subacute stage of spinal cord injury.
Wang N; He L; Yang Y; Li S; Chen Y; Tian Z; Ji Y; Wang Y; Pang M; Wang Y; Liu B; Rong L
Gene; 2020 Feb; 726():144171. PubMed ID: 31669638
[TBL] [Abstract][Full Text] [Related]
26. Identification of Pivotal MicroRNAs and Target Genes Associated with Persistent Atrial Fibrillation Based on Bioinformatics Analysis.
Xiao S; Zhou Y; Liu Q; Zhang T; Pan D
Comput Math Methods Med; 2021; 2021():6680211. PubMed ID: 33747117
[TBL] [Abstract][Full Text] [Related]
27. Integrated microRNA‑gene analysis of coronary artery disease based on miRNA and gene expression profiles.
Xu X; Li H
Mol Med Rep; 2016 Apr; 13(4):3063-73. PubMed ID: 26936111
[TBL] [Abstract][Full Text] [Related]
28. E2F7, EREG, miR-451a and miR-106b-5p are associated with the cervical cancer development.
Zong S; Liu X; Zhou N; Yue Y
Arch Gynecol Obstet; 2019 Apr; 299(4):1089-1098. PubMed ID: 30607582
[TBL] [Abstract][Full Text] [Related]
29. Investigation of crucial genes and microRNAs in conventional osteosarcoma using gene expression profiling analysis.
Peng C; Yang Q; Wei B; Yuan B; Liu Y; Li Y; Gu D; Yin G; Wang B; Xu D; Zhang X; Kong D
Mol Med Rep; 2017 Nov; 16(5):7617-7624. PubMed ID: 28944822
[TBL] [Abstract][Full Text] [Related]
30. Exploration of the molecular mechanisms, shared gene signatures, and MicroRNAs between systemic lupus erythematosus and diffuse large B cell lymphoma by bioinformatics analysis.
Peng Z; Liang X; Lin X; Lin W; Lin Z; Wei S
Lupus; 2022 Oct; 31(11):1317-1327. PubMed ID: 35817571
[TBL] [Abstract][Full Text] [Related]
31. Abnormal expression of
Du Y; Hu Y; Wen N; Fu S; Zhang G; Li L; Liu T; Lv X; Zhang W
Rev Cardiovasc Med; 2021 Sep; 22(3):947-958. PubMed ID: 34565095
[TBL] [Abstract][Full Text] [Related]
32. Identification of Biomarkers Associated with Septic Cardiomyopathy Based on Bioinformatics Analyses.
Chen M; Kong C; Zheng Z; Li Y
J Comput Biol; 2020 Jan; 27(1):69-80. PubMed ID: 31424269
[TBL] [Abstract][Full Text] [Related]
33. Bioinformatic Analysis of Genes and MicroRNAs Associated With Atrioventricular Septal Defect in Down Syndrome Patients.
Wang L; Li Z; Song X; Liu L; Su G; Cui Y
Int Heart J; 2016 Jul; 57(4):490-5. PubMed ID: 27396555
[TBL] [Abstract][Full Text] [Related]
34. Molecular characterization of metastatic osteosarcoma: Differentially expressed genes, transcription factors and microRNAs.
Heng L; Jia Z; Bai J; Zhang K; Zhu Y; Ma J; Zhang J; Duan H
Mol Med Rep; 2017 May; 15(5):2829-2836. PubMed ID: 28260111
[TBL] [Abstract][Full Text] [Related]
35. Screening for genes, transcription factors and miRNAs associated with the myogenic and osteogenic differentiation of human adipose tissue-derived stem cells.
Quan L; Wang Y; Liang J; Qiu T; Wang H; Zhang Y; Zhang Y; Hui Q; Tao K
Int J Mol Med; 2016 Dec; 38(6):1839-1849. PubMed ID: 27779643
[TBL] [Abstract][Full Text] [Related]
36. Bioinformatics analysis of microarray data to reveal the pathogenesis of diffuse intrinsic pontine glioma.
Wei L; He F; Zhang W; Chen W; Yu B
Biol Res; 2018 Aug; 51(1):26. PubMed ID: 30124166
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. Transcriptional Regulatory Network Analysis for Gastric Cancer Based on mRNA Microarray.
Wang Y
Pathol Oncol Res; 2017 Oct; 23(4):785-791. PubMed ID: 28078605
[TBL] [Abstract][Full Text] [Related]
39. Analysis of Differentially Expressed Genes in Coronary Artery Disease by Integrated Microarray Analysis.
Balashanmugam MV; Shivanandappa TB; Nagarethinam S; Vastrad B; Vastrad C
Biomolecules; 2019 Dec; 10(1):. PubMed ID: 31881747
[TBL] [Abstract][Full Text] [Related]
40. A putative molecular network associated with colon cancer metastasis constructed from microarray data.
Chu S; Wang H; Yu M
World J Surg Oncol; 2017 Jun; 15(1):115. PubMed ID: 28629469
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]