53 related articles for article (PubMed ID: 19183002)
1. Revealing biological modules via graph summarization.
Navlakha S; Schatz MC; Kingsford C
J Comput Biol; 2009 Feb; 16(2):253-64. PubMed ID: 19183002
[TBL] [Abstract][Full Text] [Related]
2. Graph-theoretical prediction of biological modules in quaternary structures of large protein complexes.
Gisdon FJ; Zunker M; Wolf JN; Prüfer K; Ackermann J; Welsch C; Koch I
Bioinformatics; 2024 Mar; 40(3):. PubMed ID: 38449296
[TBL] [Abstract][Full Text] [Related]
3. Algorithms for effective querying of compound graph-based pathway databases.
Dogrusoz U; Cetintas A; Demir E; Babur O
BMC Bioinformatics; 2009 Nov; 10():376. PubMed ID: 19917102
[TBL] [Abstract][Full Text] [Related]
4. Applied graph-mining algorithms to study biomolecular interaction networks.
Shen R; Guda C
Biomed Res Int; 2014; 2014():439476. PubMed ID: 24800226
[TBL] [Abstract][Full Text] [Related]
5. The use of edge-betweenness clustering to investigate biological function in protein interaction networks.
Dunn R; Dudbridge F; Sanderson CM
BMC Bioinformatics; 2005 Mar; 6():39. PubMed ID: 15740614
[TBL] [Abstract][Full Text] [Related]
6. The human plasma membrane peripherome: visualization and analysis of interactions.
Nastou KC; Tsaousis GN; Kremizas KE; Litou ZI; Hamodrakas SJ
Biomed Res Int; 2014; 2014():397145. PubMed ID: 25057483
[TBL] [Abstract][Full Text] [Related]
7. Searching for functional gene modules with interaction component models.
Parkkinen JA; Kaski S
BMC Syst Biol; 2010 Jan; 4():4. PubMed ID: 20100324
[TBL] [Abstract][Full Text] [Related]
8. Visualisation and graph-theoretic analysis of a large-scale protein structural interactome.
Bolser D; Dafas P; Harrington R; Park J; Schroeder M
BMC Bioinformatics; 2003 Oct; 4():45. PubMed ID: 14531933
[TBL] [Abstract][Full Text] [Related]
9. Integrating data and knowledge to identify functional modules of genes: a multilayer approach.
Liang L; Chen V; Zhu K; Fan X; Lu X; Lu S
BMC Bioinformatics; 2019 May; 20(1):225. PubMed ID: 31046665
[TBL] [Abstract][Full Text] [Related]
10. Network analysis reveals rare disease signatures across multiple levels of biological organization.
Buphamalai P; Kokotovic T; Nagy V; Menche J
Nat Commun; 2021 Nov; 12(1):6306. PubMed ID: 34753928
[TBL] [Abstract][Full Text] [Related]
11. GLADIATOR: a global approach for elucidating disease modules.
Silberberg Y; Kupiec M; Sharan R
Genome Med; 2017 May; 9(1):48. PubMed ID: 28549478
[TBL] [Abstract][Full Text] [Related]
12. Hierarchical semantic composition of biosimulation models using bond graphs.
Shahidi N; Pan M; Safaei S; Tran K; Crampin EJ; Nickerson DP
PLoS Comput Biol; 2021 May; 17(5):e1008859. PubMed ID: 33983945
[TBL] [Abstract][Full Text] [Related]
13. Recent advances in clustering methods for protein interaction networks.
Wang J; Li M; Deng Y; Pan Y
BMC Genomics; 2010 Dec; 11 Suppl 3(Suppl 3):S10. PubMed ID: 21143777
[TBL] [Abstract][Full Text] [Related]
14. Systems-level analyses identify extensive coupling among gene expression machines.
Maciag K; Altschuler SJ; Slack MD; Krogan NJ; Emili A; Greenblatt JF; Maniatis T; Wu LF
Mol Syst Biol; 2006; 2():2006.0003. PubMed ID: 16738550
[TBL] [Abstract][Full Text] [Related]
15. A framework for stability-based module detection in correlation graphs.
Tian M; Blair RH; Mu L; Bonner M; Browne R; Yu H
Stat Anal Data Min; 2021 Apr; 14(2):129-143. PubMed ID: 33777285
[TBL] [Abstract][Full Text] [Related]
16. Incomplete and noisy network data as a percolation process.
Stumpf MP; Wiuf C
J R Soc Interface; 2010 Oct; 7(51):1411-9. PubMed ID: 20378609
[TBL] [Abstract][Full Text] [Related]
17. An effective approach to detecting both small and large complexes from protein-protein interaction networks.
Xu B; Wang Y; Wang Z; Zhou J; Zhou S; Guan J
BMC Bioinformatics; 2017 Oct; 18(Suppl 12):419. PubMed ID: 29072136
[TBL] [Abstract][Full Text] [Related]
18. Functional module identification in protein interaction networks by interaction patterns.
Wang Y; Qian X
Bioinformatics; 2014 Jan; 30(1):81-93. PubMed ID: 24085567
[TBL] [Abstract][Full Text] [Related]
19. Mining breast cancer genes with a network based noise-tolerant approach.
Nie Y; Yu J
BMC Syst Biol; 2013 Jun; 7():49. PubMed ID: 23799982
[TBL] [Abstract][Full Text] [Related]
20. Prioritization of candidate disease genes by topological similarity between disease and protein diffusion profiles.
Zhu J; Qin Y; Liu T; Wang J; Zheng X
BMC Bioinformatics; 2013; 14 Suppl 5(Suppl 5):S5. PubMed ID: 23734762
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]