131 related articles for article (PubMed ID: 30675301)
1. Systematic tracking of altered modules identifies the key biomarkers involved in chronic lymphocytic leukemia.
Lu X; Wu Z; Zhao XY; Li CF; Kan SF
Oncol Lett; 2019 Feb; 17(2):2351-2355. PubMed ID: 30675301
[TBL] [Abstract][Full Text] [Related]
2. Identification of disrupted pathways in ulcerative colitis-related colorectal carcinoma by systematic tracking the dysregulated modules.
Wu D; Li Q; Song G; Lu J
J BUON; 2016; 21(2):366-74. PubMed ID: 27273946
[TBL] [Abstract][Full Text] [Related]
3. Systematic tracking of altered modules identifies disrupted pathways in teratozoospermia.
Huang ZQ; Wang GX; Jiang XL; Tian EP; Yao WL; Zeng T
Genet Mol Res; 2016 Apr; 15(2):. PubMed ID: 27173237
[TBL] [Abstract][Full Text] [Related]
4. Systematic Tracking of Disrupted Modules Identifies Altered Pathways Associated with Congenital Heart Defects in Down Syndrome.
Chen D; Zhang Z; Meng Y
Med Sci Monit; 2015 Nov; 21():3334-42. PubMed ID: 26524729
[TBL] [Abstract][Full Text] [Related]
5. Systematic tracking of disrupted modules identifies significant genes and pathways in hepatocellular carcinoma.
Zhang MH; Shen QH; Qin ZM; Wang QL; Chen X
Oncol Lett; 2016 Nov; 12(5):3285-3295. PubMed ID: 27899995
[TBL] [Abstract][Full Text] [Related]
6. Systematic tracking of dysregulated modules identifies disrupted pathways in narcolepsy.
Liu Z; Zhao J; Tan Y; Tang M; Li G
Int J Clin Exp Med; 2015; 8(6):9384-93. PubMed ID: 26309600
[TBL] [Abstract][Full Text] [Related]
7. Multivariate transcriptome analysis identifies networks and key drivers of chronic lymphocytic leukemia relapse risk and patient survival.
Griffen TL; Dammer EB; Dill CD; Carey KM; Young CD; Nunez SK; Ohandjo AQ; Kornblau SM; Lillard JW
BMC Med Genomics; 2021 Jun; 14(1):171. PubMed ID: 34187466
[TBL] [Abstract][Full Text] [Related]
8. Identification of key biomarkers involved in osteosarcoma using altered modules.
Liu ZZ; Cui ST; Tang B; Wang ZZ; Luan ZX
Genet Mol Res; 2016 Aug; 15(3):. PubMed ID: 27706618
[TBL] [Abstract][Full Text] [Related]
9. Dysregulated module approach identifies disrupted genes and pathways associated with acute myelocytic leukemia.
Fang Y; Xie LN; Liu XM; Yu Z; Kong FS; Song NX; Zhou F
Eur Rev Med Pharmacol Sci; 2015 Dec; 19(24):4811-26. PubMed ID: 26744873
[TBL] [Abstract][Full Text] [Related]
10. Overlapped differentially expressed genes between acute lymphoblastic leukemia and chronic lymphocytic leukemia revealed potential key genes and pathways involved in leukemia.
Zhang S; Zhang Q; Yin J; Wu X
J Cell Biochem; 2019 Sep; 120(9):15980-15988. PubMed ID: 31081970
[TBL] [Abstract][Full Text] [Related]
11. Identification of key miRNA-gene pairs in chronic lymphocytic leukemia through integrated analysis of mRNA and miRNA microarray.
Li J; Qin Y; Zhang H
Oncol Lett; 2018 Jan; 15(1):361-367. PubMed ID: 29285196
[TBL] [Abstract][Full Text] [Related]
12. Protein-protein interaction networks and modules analysis for colorectal cancer and serrated adenocarcinoma.
Yu H; Ye L; Wang J; Jin L; Lv Y; Yu M
J Cancer Res Ther; 2015; 11(4):846-51. PubMed ID: 26881529
[TBL] [Abstract][Full Text] [Related]
13. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
[TBL] [Abstract][Full Text] [Related]
14. Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.
Vastrad B; Vastrad C; Godavarthi A; Chandrashekar R
Med Oncol; 2017 Sep; 34(11):182. PubMed ID: 28952134
[TBL] [Abstract][Full Text] [Related]
15. Identification of Key Pathways and Genes in Anaplastic Thyroid Carcinoma via Integrated Bioinformatics Analysis.
Hu S; Liao Y; Chen L
Med Sci Monit; 2018 Sep; 24():6438-6448. PubMed ID: 30213925
[TBL] [Abstract][Full Text] [Related]
16. Temporal Identification of Dysregulated Genes and Pathways in Clear Cell Renal Cell Carcinoma Based on Systematic Tracking of Disrupted Modules.
Wang SM; Sun ZQ; Li HY; Wang J; Liu QY
Comput Math Methods Med; 2015; 2015():313740. PubMed ID: 26543493
[TBL] [Abstract][Full Text] [Related]
17. Systematic module approach identifies altered genes and pathways in four types of ovarian cancer.
Liu J; Wang HL; Ma FM; Guo HP; Fang NN; Wang SS; Li XH
Mol Med Rep; 2017 Dec; 16(6):7907-7914. PubMed ID: 28983627
[TBL] [Abstract][Full Text] [Related]
18. Observation of significant biomarkers in osteosarcoma via integrating module- identification method with attract.
Qi J; Ma L; Wang X; Li Y; Wang K
Cancer Biomark; 2017 Jul; 20(1):87-93. PubMed ID: 28759958
[TBL] [Abstract][Full Text] [Related]
19. Gene expression profiling analysis of patients with ankylosing spondylitis.
Shi Z; Li Q; Cai B; Ran B; Li M
J Spinal Disord Tech; 2015 May; 28(4):E244-50. PubMed ID: 25756408
[TBL] [Abstract][Full Text] [Related]
20. Identifying disrupted pathways by tracking altered modules in type 2 DM-related heart failure.
Liu H; Han X; Li Y
Herz; 2017 Feb; 42(1):98-106. PubMed ID: 27363418
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
