858 related articles for article (PubMed ID: 27791983)
1. Comparative analysis of protein interactome networks prioritizes candidate genes with cancer signatures.
Li Y; Sahni N; Yi S
Oncotarget; 2016 Nov; 7(48):78841-78849. PubMed ID: 27791983
[TBL] [Abstract][Full Text] [Related]
2. Integration of somatic mutation, expression and functional data reveals potential driver genes predictive of breast cancer survival.
Suo C; Hrydziuszko O; Lee D; Pramana S; Saputra D; Joshi H; Calza S; Pawitan Y
Bioinformatics; 2015 Aug; 31(16):2607-13. PubMed ID: 25810432
[TBL] [Abstract][Full Text] [Related]
3. Depicting the genetic architecture of pediatric cancers through an integrative gene network approach.
Savary C; Kim A; Lespagnol A; Gandemer V; Pellier I; Andrieu C; Pagès G; Galibert MD; Blum Y; de Tayrac M
Sci Rep; 2020 Jan; 10(1):1224. PubMed ID: 31988326
[TBL] [Abstract][Full Text] [Related]
4. Comprehensive characterization of lncRNA-mRNA related ceRNA network across 12 major cancers.
Zhang Y; Xu Y; Feng L; Li F; Sun Z; Wu T; Shi X; Li J; Li X
Oncotarget; 2016 Sep; 7(39):64148-64167. PubMed ID: 27580177
[TBL] [Abstract][Full Text] [Related]
5. GCGene: a gene resource for gastric cancer with literature evidence.
Zhao M; Chen L; Liu Y; Qu H
Oncotarget; 2016 Jun; 7(23):33983-93. PubMed ID: 27127885
[TBL] [Abstract][Full Text] [Related]
6. Pan-organ transcriptome variation across 21 cancer types.
Hu W; Yang Y; Li X; Zheng S
Oncotarget; 2017 Jan; 8(4):6809-6818. PubMed ID: 28036280
[TBL] [Abstract][Full Text] [Related]
7. Bioinformatics-Based Identification of Methylated-Differentially Expressed Genes and Related Pathways in Gastric Cancer.
Li H; Liu JW; Liu S; Yuan Y; Sun LP
Dig Dis Sci; 2017 Nov; 62(11):3029-3039. PubMed ID: 28914394
[TBL] [Abstract][Full Text] [Related]
8. Identification of hub subnetwork based on topological features of genes in breast cancer.
Zhuang DY; Jiang L; He QQ; Zhou P; Yue T
Int J Mol Med; 2015 Mar; 35(3):664-74. PubMed ID: 25573623
[TBL] [Abstract][Full Text] [Related]
9. Topological network analysis of differentially expressed genes in cancer cells with acquired gefitinib resistance.
Lee YS; Hwang SG; Kim JK; Park TH; Kim YR; Myeong HS; Kwon K; Jang CS; Noh YH; Kim SY
Cancer Genomics Proteomics; 2015; 12(3):153-66. PubMed ID: 25977174
[TBL] [Abstract][Full Text] [Related]
10. Preface on application of omics technologies in cancer biology and therapy.
Georgakilas AG
Cancer Lett; 2016 Nov; 382(1):A1. PubMed ID: 27765153
[No Abstract] [Full Text] [Related]
11. High-throughput «Omics» technologies: New tools for the study of triple-negative breast cancer.
Judes G; Rifaï K; Daures M; Dubois L; Bignon YJ; Penault-Llorca F; Bernard-Gallon D
Cancer Lett; 2016 Nov; 382(1):77-85. PubMed ID: 26965997
[TBL] [Abstract][Full Text] [Related]
12. Prediction of synergistic anti-cancer drug combinations based on drug target network and drug induced gene expression profiles.
Li X; Xu Y; Cui H; Huang T; Wang D; Lian B; Li W; Qin G; Chen L; Xie L
Artif Intell Med; 2017 Nov; 83():35-43. PubMed ID: 28583437
[TBL] [Abstract][Full Text] [Related]
13. Comprehensive characterization of immune- and inflammation-associated biomarkers based on multi-omics integration in kidney renal clear cell carcinoma.
Zhao E; Li L; Zhang W; Wang W; Chan Y; You B; Li X
J Transl Med; 2019 May; 17(1):177. PubMed ID: 31133033
[TBL] [Abstract][Full Text] [Related]
14. Systems-level differential gene expression analysis reveals new genetic variants of oral cancer.
Abbas SZ; Qadir MI; Muhammad SA
Sci Rep; 2020 Sep; 10(1):14667. PubMed ID: 32887903
[TBL] [Abstract][Full Text] [Related]
15. Network-Based Identification and Prioritization of Key Regulators of Coronary Artery Disease Loci.
Zhao Y; Chen J; Freudenberg JM; Meng Q; Rajpal DK; Yang X
Arterioscler Thromb Vasc Biol; 2016 May; 36(5):928-41. PubMed ID: 26966275
[TBL] [Abstract][Full Text] [Related]
16. Construction of Parkinson's disease marker-based weighted protein-protein interaction network for prioritization of co-expressed genes.
George G; Valiya Parambath S; Lokappa SB; Varkey J
Gene; 2019 May; 697():67-77. PubMed ID: 30776463
[TBL] [Abstract][Full Text] [Related]
17. An ego network analysis approach identified important biomarkers with an association to progression and metastasis of gastric cancer.
Tian X; Ju H; Yang W
J Cell Biochem; 2019 Sep; 120(9):15963-15970. PubMed ID: 31081222
[TBL] [Abstract][Full Text] [Related]
18. Competing endogenous RNA network analysis identifies critical genes among the different breast cancer subtypes.
Chen J; Xu J; Li Y; Zhang J; Chen H; Lu J; Wang Z; Zhao X; Xu K; Li Y; Li X; Zhang Y
Oncotarget; 2017 Feb; 8(6):10171-10184. PubMed ID: 28052038
[TBL] [Abstract][Full Text] [Related]
19. Ovarian Cancer Differential Interactome and Network Entropy Analysis Reveal New Candidate Biomarkers.
Ayyildiz D; Gov E; Sinha R; Arga KY
OMICS; 2017 May; 21(5):285-294. PubMed ID: 28375712
[TBL] [Abstract][Full Text] [Related]
20. Prioritization of candidate disease genes by enlarging the seed set and fusing information of the network topology and gene expression.
Zhang SW; Shao DD; Zhang SY; Wang YB
Mol Biosyst; 2014 Jun; 10(6):1400-8. PubMed ID: 24695957
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]