218 related articles for article (PubMed ID: 20187943)
1. Identification of functional modules that correlate with phenotypic difference: the influence of network topology.
Hung JH; Whitfield TW; Yang TH; Hu Z; Weng Z; DeLisi C
Genome Biol; 2010; 11(2):R23. PubMed ID: 20187943
[TBL] [Abstract][Full Text] [Related]
2. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Identification of key gene modules and genes in colorectal cancer by co-expression analysis weighted gene co-expression network analysis.
Wang P; Zheng H; Zhang J; Wang Y; Liu P; Xuan X; Li Q; Du Y
Biosci Rep; 2020 Sep; 40(9):. PubMed ID: 32815531
[TBL] [Abstract][Full Text] [Related]
5. MiRNA synergistic network construction and enrichment analysis for common target genes in small-cell lung cancer.
Zhang TF; Cheng KW; Shi WY; Zhang JT; Liu KD; Xu SG; Chen JQ
Asian Pac J Cancer Prev; 2012; 13(12):6375-8. PubMed ID: 23464461
[TBL] [Abstract][Full Text] [Related]
6. Interaction network analysis of YBX1 for identification of therapeutic targets in adenocarcinomas.
Murugesan SN; Yadav BS; Maurya PK; Chaudhary A; Singh S; Mani A
J Biosci; 2019 Jun; 44(2):. PubMed ID: 31180040
[TBL] [Abstract][Full Text] [Related]
7. PAGED: a pathway and gene-set enrichment database to enable molecular phenotype discoveries.
Huang H; Wu X; Sonachalam M; Mandape SN; Pandey R; MacDorman KF; Wan P; Chen JY
BMC Bioinformatics; 2012; 13 Suppl 15(Suppl 15):S2. PubMed ID: 23046413
[TBL] [Abstract][Full Text] [Related]
8. Topological signatures in regulatory network enable phenotypic heterogeneity in small cell lung cancer.
Chauhan L; Ram U; Hari K; Jolly MK
Elife; 2021 Mar; 10():. PubMed ID: 33729159
[TBL] [Abstract][Full Text] [Related]
9. Identification of miRNA-miRNA synergistic relationships in colorectal cancer.
Zhao X; Song H; Zuo Z; Zhu Y; Dong X; Lu X
Int J Biol Macromol; 2013 Apr; 55():98-103. PubMed ID: 23246904
[TBL] [Abstract][Full Text] [Related]
10. Signalling pathway impact analysis based on the strength of interaction between genes.
Bao Z; Li X; Zan X; Shen L; Ma R; Liu W
IET Syst Biol; 2016 Aug; 10(4):147-52. PubMed ID: 27444024
[TBL] [Abstract][Full Text] [Related]
11. Identification of key genes associated with colorectal cancer based on the transcriptional network.
Chen G; Li H; Niu X; Li G; Han N; Li X; Li G; Liu Y; Sun G; Wang Y; Li Z; Li Q
Pathol Oncol Res; 2015 Jul; 21(3):719-25. PubMed ID: 25613817
[TBL] [Abstract][Full Text] [Related]
12. Network analysis of differentially expressed genes reveals key genes in small cell lung cancer.
Tantai JC; Pan XF; Zhao H
Eur Rev Med Pharmacol Sci; 2015 Apr; 19(8):1364-72. PubMed ID: 25967710
[TBL] [Abstract][Full Text] [Related]
13. Identification of Key Candidate Genes and Pathways in Colorectal Cancer by Integrated Bioinformatical Analysis.
Guo Y; Bao Y; Ma M; Yang W
Int J Mol Sci; 2017 Mar; 18(4):. PubMed ID: 28350360
[TBL] [Abstract][Full Text] [Related]
14. Kernel differential subgraph reveals dynamic changes in biomolecular networks.
Xie J; Lu D; Li J; Wang J; Zhang Y; Li Y; Nie Q
J Bioinform Comput Biol; 2018 Feb; 16(1):1750027. PubMed ID: 29281952
[TBL] [Abstract][Full Text] [Related]
15. Identification of key modules and hub genes for small-cell lung carcinoma and large-cell neuroendocrine lung carcinoma by weighted gene co-expression network analysis of clinical tissue-proteomes.
Nakamura H; Fujii K; Gupta V; Hata H; Koizumu H; Hoshikawa M; Naruki S; Miyata Y; Takahashi I; Miyazawa T; Sakai H; Tsumoto K; Takagi M; Saji H; Nishimura T
PLoS One; 2019; 14(6):e0217105. PubMed ID: 31166966
[TBL] [Abstract][Full Text] [Related]
16. Identification of key microRNAs and hub genes in non-small-cell lung cancer using integrative bioinformatics and functional analyses.
Song F; Xuan Z; Yang X; Ye X; Pan Z; Fang Q
J Cell Biochem; 2020 Mar; 121(3):2690-2703. PubMed ID: 31692035
[TBL] [Abstract][Full Text] [Related]
17. Construction of an miRNA-mRNA regulatory network in colorectal cancer with bioinformatics methods.
Su Y; Zhang M; Zhang L; Chen S; Zhang D; Zhang X
Anticancer Drugs; 2019 Jul; 30(6):588-595. PubMed ID: 30601194
[TBL] [Abstract][Full Text] [Related]
18. Identification of differentially expressed genes between lung adenocarcinoma and lung squamous cell carcinoma by gene expression profiling.
Lu C; Chen H; Shan Z; Yang L
Mol Med Rep; 2016 Aug; 14(2):1483-90. PubMed ID: 27356570
[TBL] [Abstract][Full Text] [Related]
19. Identification and Integrated Analysis of Key Biomarkers for Diagnosis and Prognosis of Non-Small Cell Lung Cancer.
Liu X; Liu X; Li J; Ren F
Med Sci Monit; 2019 Dec; 25():9280-9289. PubMed ID: 31805030
[TBL] [Abstract][Full Text] [Related]
20. Identification and validation of key genes associated with non-small-cell lung cancer.
Ma Q; Xu Y; Liao H; Cai Y; Xu L; Xiao D; Liu C; Pu W; Zhong X; Guo X
J Cell Physiol; 2019 Dec; 234(12):22742-22752. PubMed ID: 31127628
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]