261 related articles for article (PubMed ID: 20478067)
1. An integrative multi-dimensional genetic and epigenetic strategy to identify aberrant genes and pathways in cancer.
Chari R; Coe BP; Vucic EA; Lockwood WW; Lam WL
BMC Syst Biol; 2010 May; 4():67. PubMed ID: 20478067
[TBL] [Abstract][Full Text] [Related]
2. Integrating the multiple dimensions of genomic and epigenomic landscapes of cancer.
Chari R; Thu KL; Wilson IM; Lockwood WW; Lonergan KM; Coe BP; Malloff CA; Gazdar AF; Lam S; Garnis C; MacAulay CE; Alvarez CE; Lam WL
Cancer Metastasis Rev; 2010 Mar; 29(1):73-93. PubMed ID: 20108112
[TBL] [Abstract][Full Text] [Related]
3. Epigenetic mapping and functional analysis in a breast cancer metastasis model using whole-genome promoter tiling microarrays.
Rodenhiser DI; Andrews J; Kennette W; Sadikovic B; Mendlowitz A; Tuck AB; Chambers AF
Breast Cancer Res; 2008; 10(4):R62. PubMed ID: 18638373
[TBL] [Abstract][Full Text] [Related]
4. SIGMA2: a system for the integrative genomic multi-dimensional analysis of cancer genomes, epigenomes, and transcriptomes.
Chari R; Coe BP; Wedseltoft C; Benetti M; Wilson IM; Vucic EA; MacAulay C; Ng RT; Lam WL
BMC Bioinformatics; 2008 Oct; 9():422. PubMed ID: 18840289
[TBL] [Abstract][Full Text] [Related]
5. An integrated genomics analysis of epigenetic subtypes in human breast tumors links DNA methylation patterns to chromatin states in normal mammary cells.
Holm K; Staaf J; Lauss M; Aine M; Lindgren D; Bendahl PO; Vallon-Christersson J; Barkardottir RB; Höglund M; Borg Å; Jönsson G; Ringnér M
Breast Cancer Res; 2016 Feb; 18(1):27. PubMed ID: 26923702
[TBL] [Abstract][Full Text] [Related]
6. Identification of candidate cancer drivers by integrative Epi-DNA and Gene Expression (iEDGE) data analysis.
Li A; Chapuy B; Varelas X; Sebastiani P; Monti S
Sci Rep; 2019 Nov; 9(1):16904. PubMed ID: 31729402
[TBL] [Abstract][Full Text] [Related]
7. Prediction of epigenetically regulated genes in breast cancer cell lines.
Loss LA; Sadanandam A; Durinck S; Nautiyal S; Flaucher D; Carlton VE; Moorhead M; Lu Y; Gray JW; Faham M; Spellman P; Parvin B
BMC Bioinformatics; 2010 Jun; 11():305. PubMed ID: 20525369
[TBL] [Abstract][Full Text] [Related]
8. In vitro analysis of integrated global high-resolution DNA methylation profiling with genomic imbalance and gene expression in osteosarcoma.
Sadikovic B; Yoshimoto M; Al-Romaih K; Maire G; Zielenska M; Squire JA
PLoS One; 2008 Jul; 3(7):e2834. PubMed ID: 18698372
[TBL] [Abstract][Full Text] [Related]
9. Integrative analysis of genome-wide loss of heterozygosity and monoallelic expression at nucleotide resolution reveals disrupted pathways in triple-negative breast cancer.
Ha G; Roth A; Lai D; Bashashati A; Ding J; Goya R; Giuliany R; Rosner J; Oloumi A; Shumansky K; Chin SF; Turashvili G; Hirst M; Caldas C; Marra MA; Aparicio S; Shah SP
Genome Res; 2012 Oct; 22(10):1995-2007. PubMed ID: 22637570
[TBL] [Abstract][Full Text] [Related]
10. Multi-platform whole-genome microarray analyses refine the epigenetic signature of breast cancer metastasis with gene expression and copy number.
Andrews J; Kennette W; Pilon J; Hodgson A; Tuck AB; Chambers AF; Rodenhiser DI
PLoS One; 2010 Jan; 5(1):e8665. PubMed ID: 20084286
[TBL] [Abstract][Full Text] [Related]
11. Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer.
Kim D; Li R; Dudek SM; Ritchie MD
J Biomed Inform; 2015 Aug; 56():220-8. PubMed ID: 26048077
[TBL] [Abstract][Full Text] [Related]
12. Determining the effect of DNA methylation on gene expression in cancer cells.
Lee CJ; Evans J; Kim K; Chae H; Kim S
Methods Mol Biol; 2014; 1101():161-78. PubMed ID: 24233782
[TBL] [Abstract][Full Text] [Related]
13. Exploring breast carcinogenesis through integrative genomics and epigenomics analyses.
Minning C; Mokhtar NM; Abdullah N; Muhammad R; Emran NA; Ali SA; Harun R; Jamal R
Int J Oncol; 2014 Nov; 45(5):1959-68. PubMed ID: 25175708
[TBL] [Abstract][Full Text] [Related]
14. An integrative analysis of the age-associated multi-omic landscape across cancers.
Chatsirisupachai K; Lesluyes T; Paraoan L; Van Loo P; de Magalhães JP
Nat Commun; 2021 Apr; 12(1):2345. PubMed ID: 33879792
[TBL] [Abstract][Full Text] [Related]
15. Multiple network algorithm for epigenetic modules via the integration of genome-wide DNA methylation and gene expression data.
Ma X; Liu Z; Zhang Z; Huang X; Tang W
BMC Bioinformatics; 2017 Jan; 18(1):72. PubMed ID: 28137264
[TBL] [Abstract][Full Text] [Related]
16. Walking pathways with positive feedback loops reveal DNA methylation biomarkers of colorectal cancer.
Kel A; Boyarskikh U; Stegmaier P; Leskov LS; Sokolov AV; Yevshin I; Mandrik N; Stelmashenko D; Koschmann J; Kel-Margoulis O; Krull M; Martínez-Cardús A; Moran S; Esteller M; Kolpakov F; Filipenko M; Wingender E
BMC Bioinformatics; 2019 Apr; 20(Suppl 4):119. PubMed ID: 30999858
[TBL] [Abstract][Full Text] [Related]
17. Emerging technologies for genome-wide DNA methylation profiling in cancer.
Hatada I
Crit Rev Oncog; 2006 Dec; 12(3-4):205-23. PubMed ID: 17425503
[TBL] [Abstract][Full Text] [Related]
18. Genome-wide DNA methylation analysis reveals molecular subtypes of pancreatic cancer.
Mishra NK; Guda C
Oncotarget; 2017 Apr; 8(17):28990-29012. PubMed ID: 28423671
[TBL] [Abstract][Full Text] [Related]
19. Multi-network approach to identify differentially methylated gene communities in cancer.
R V; Nazeer KAA
Gene; 2019 May; 697():227-237. PubMed ID: 30797996
[TBL] [Abstract][Full Text] [Related]
20. Bayesian variable selection with graphical structure learning: Applications in integrative genomics.
Kundu S; Cheng Y; Shin M; Manyam G; Mallick BK; Baladandayuthapani V
PLoS One; 2018; 13(7):e0195070. PubMed ID: 30059495
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
