203 related articles for article (PubMed ID: 25030932)
1. Matrix factorization methods for integrative cancer genomics.
Zhang S; Zhou XJ
Methods Mol Biol; 2014; 1176():229-42. PubMed ID: 25030932
[TBL] [Abstract][Full Text] [Related]
2. Discovery of multi-dimensional modules by integrative analysis of cancer genomic data.
Zhang S; Liu CC; Li W; Shen H; Laird PW; Zhou XJ
Nucleic Acids Res; 2012 Oct; 40(19):9379-91. PubMed ID: 22879375
[TBL] [Abstract][Full Text] [Related]
3. Integrating multiple types of data to identify microRNA-gene co-modules.
Zhang S
Methods Mol Biol; 2013; 1049():215-29. PubMed ID: 23913219
[TBL] [Abstract][Full Text] [Related]
4. Computational Methods for Subtyping of Tumors and Their Applications for Deciphering Tumor Heterogeneity.
Zhang S
Methods Mol Biol; 2019; 1878():193-207. PubMed ID: 30378077
[TBL] [Abstract][Full Text] [Related]
5. The Integrative Method Based on the Module-Network for Identifying Driver Genes in Cancer Subtypes.
Lu X; Li X; Liu P; Qian X; Miao Q; Peng S
Molecules; 2018 Jan; 23(2):. PubMed ID: 29364829
[TBL] [Abstract][Full Text] [Related]
6. Identification of ovarian cancer subtype-specific network modules and candidate drivers through an integrative genomics approach.
Zhang D; Chen P; Zheng CH; Xia J
Oncotarget; 2016 Jan; 7(4):4298-309. PubMed ID: 26735889
[TBL] [Abstract][Full Text] [Related]
7. Feature related multi-view nonnegative matrix factorization for identifying conserved functional modules in multiple biological networks.
Wang P; Gao L; Hu Y; Li F
BMC Bioinformatics; 2018 Oct; 19(1):394. PubMed ID: 30373534
[TBL] [Abstract][Full Text] [Related]
8. Identification of mutated core cancer modules by integrating somatic mutation, copy number variation, and gene expression data.
Zhang J; Zhang S; Wang Y; Zhang XS
BMC Syst Biol; 2013; 7 Suppl 2(Suppl 2):S4. PubMed ID: 24565034
[TBL] [Abstract][Full Text] [Related]
9. Integrative Exploratory Analysis of Two or More Genomic Datasets.
Meng C; Culhane A
Methods Mol Biol; 2016; 1418():19-38. PubMed ID: 27008008
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Integrative network analysis for survival-associated gene-gene interactions across multiple genomic profiles in ovarian cancer.
Jeong HH; Leem S; Wee K; Sohn KA
J Ovarian Res; 2015 Jul; 8():42. PubMed ID: 26138921
[TBL] [Abstract][Full Text] [Related]
12. Identifying multi-layer gene regulatory modules from multi-dimensional genomic data.
Li W; Zhang S; Liu CC; Zhou XJ
Bioinformatics; 2012 Oct; 28(19):2458-66. PubMed ID: 22863767
[TBL] [Abstract][Full Text] [Related]
13. Integrative Data Analysis of Multi-Platform Cancer Data with a Multimodal Deep Learning Approach.
Liang M; Li Z; Chen T; Zeng J
IEEE/ACM Trans Comput Biol Bioinform; 2015; 12(4):928-37. PubMed ID: 26357333
[TBL] [Abstract][Full Text] [Related]
14. InterSIM: Simulation tool for multiple integrative 'omic datasets'.
Chalise P; Raghavan R; Fridley BL
Comput Methods Programs Biomed; 2016 May; 128():69-74. PubMed ID: 27040832
[TBL] [Abstract][Full Text] [Related]
15. Computational prediction of cancer-gene function.
Hu P; Bader G; Wigle DA; Emili A
Nat Rev Cancer; 2007 Jan; 7(1):23-34. PubMed ID: 17167517
[TBL] [Abstract][Full Text] [Related]
16. Integrative construction of regulatory region networks in 127 human reference epigenomes by matrix factorization.
Liu D; Davila-Velderrain J; Zhang Z; Kellis M
Nucleic Acids Res; 2019 Aug; 47(14):7235-7246. PubMed ID: 31265076
[TBL] [Abstract][Full Text] [Related]
17. Learning common and specific patterns from data of multiple interrelated biological scenarios with matrix factorization.
Zhang L; Zhang S
Nucleic Acids Res; 2019 Jul; 47(13):6606-6617. PubMed ID: 31175825
[TBL] [Abstract][Full Text] [Related]
18. FGMD: A novel approach for functional gene module detection in cancer.
Jin D; Lee H
PLoS One; 2017; 12(12):e0188900. PubMed ID: 29244808
[TBL] [Abstract][Full Text] [Related]
19. Discovery of two-level modular organization from matched genomic data via joint matrix tri-factorization.
Chen J; Zhang S
Nucleic Acids Res; 2018 Jul; 46(12):5967-5976. PubMed ID: 29878151
[TBL] [Abstract][Full Text] [Related]
20. Pathway Relevance Ranking for Tumor Samples through Network-Based Data Integration.
Verbeke LP; Van den Eynden J; Fierro AC; Demeester P; Fostier J; Marchal K
PLoS One; 2015; 10(7):e0133503. PubMed ID: 26217958
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
