191 related articles for article (PubMed ID: 17597514)
1. Characterization of protein-interaction networks in tumors.
Platzer A; Perco P; Lukas A; Mayer B
BMC Bioinformatics; 2007 Jun; 8():224. PubMed ID: 17597514
[TBL] [Abstract][Full Text] [Related]
2. Predicting cancer involvement of genes from heterogeneous data.
Aragues R; Sander C; Oliva B
BMC Bioinformatics; 2008 Mar; 9():172. PubMed ID: 18371197
[TBL] [Abstract][Full Text] [Related]
3. Discovering distinct functional modules of specific cancer types using protein-protein interaction networks.
Shen R; Wang X; Guda C
Biomed Res Int; 2015; 2015():146365. PubMed ID: 26495282
[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. Fitting a geometric graph to a protein-protein interaction network.
Higham DJ; Rasajski M; Przulj N
Bioinformatics; 2008 Apr; 24(8):1093-9. PubMed ID: 18344248
[TBL] [Abstract][Full Text] [Related]
6. Visualization of protein interaction networks: problems and solutions.
Agapito G; Guzzi PH; Cannataro M
BMC Bioinformatics; 2013; 14 Suppl 1(Suppl 1):S1. PubMed ID: 23368786
[TBL] [Abstract][Full Text] [Related]
7. On the Variable Ordering in Subgraph Isomorphism Algorithms.
Bonnici V; Giugno R
IEEE/ACM Trans Comput Biol Bioinform; 2017; 14(1):193-203. PubMed ID: 26761859
[TBL] [Abstract][Full Text] [Related]
8. Global topological features of cancer proteins in the human interactome.
Jonsson PF; Bates PA
Bioinformatics; 2006 Sep; 22(18):2291-7. PubMed ID: 16844706
[TBL] [Abstract][Full Text] [Related]
9. Extracting three-way gene interactions from microarray data.
Zhang J; Ji Y; Zhang L
Bioinformatics; 2007 Nov; 23(21):2903-9. PubMed ID: 17921496
[TBL] [Abstract][Full Text] [Related]
10. Characterizing disease states from topological properties of transcriptional regulatory networks.
Tuck DP; Kluger HM; Kluger Y
BMC Bioinformatics; 2006 May; 7():236. PubMed ID: 16670008
[TBL] [Abstract][Full Text] [Related]
11. Topology of gene expression networks as revealed by data mining and modeling.
Lukashin AV; Lukashev ME; Fuchs R
Bioinformatics; 2003 Oct; 19(15):1909-16. PubMed ID: 14555623
[TBL] [Abstract][Full Text] [Related]
12. Probabilistic model of the human protein-protein interaction network.
Rhodes DR; Tomlins SA; Varambally S; Mahavisno V; Barrette T; Kalyana-Sundaram S; Ghosh D; Pandey A; Chinnaiyan AM
Nat Biotechnol; 2005 Aug; 23(8):951-9. PubMed ID: 16082366
[TBL] [Abstract][Full Text] [Related]
13. Identification of synthetic lethal pairs in biological systems through network information centrality.
Kranthi T; Rao SB; Manimaran P
Mol Biosyst; 2013 Aug; 9(8):2163-7. PubMed ID: 23728082
[TBL] [Abstract][Full Text] [Related]
14. A new essential protein discovery method based on the integration of protein-protein interaction and gene expression data.
Li M; Zhang H; Wang JX; Pan Y
BMC Syst Biol; 2012 Mar; 6():15. PubMed ID: 22405054
[TBL] [Abstract][Full Text] [Related]
15. From pull-down data to protein interaction networks and complexes with biological relevance.
Zhang B; Park BH; Karpinets T; Samatova NF
Bioinformatics; 2008 Apr; 24(7):979-86. PubMed ID: 18304937
[TBL] [Abstract][Full Text] [Related]
16. An efficient algorithm for detecting frequent subgraphs in biological networks.
Koyutürk M; Grama A; Szpankowski W
Bioinformatics; 2004 Aug; 20 Suppl 1():i200-7. PubMed ID: 15262800
[TBL] [Abstract][Full Text] [Related]
17. A dependency graph approach for the analysis of differential gene expression profiles.
Bernthaler A; Mühlberger I; Fechete R; Perco P; Lukas A; Mayer B
Mol Biosyst; 2009 Dec; 5(12):1720-31. PubMed ID: 19585005
[TBL] [Abstract][Full Text] [Related]
18. The relative vertex clustering value--a new criterion for the fast discovery of functional modules in protein interaction networks.
Ibrahim ZM; Ngom A
BMC Bioinformatics; 2015; 16 Suppl 4(Suppl 4):S3. PubMed ID: 25734691
[TBL] [Abstract][Full Text] [Related]
19. Cluster analysis of networks generated through homology: automatic identification of important protein communities involved in cancer metastasis.
Jonsson PF; Cavanna T; Zicha D; Bates PA
BMC Bioinformatics; 2006 Jan; 7():2. PubMed ID: 16398927
[TBL] [Abstract][Full Text] [Related]
20. An algorithm for finding functional modules and protein complexes in protein-protein interaction networks.
Cui G; Chen Y; Huang DS; Han K
J Biomed Biotechnol; 2008; 2008():860270. PubMed ID: 18385821
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]