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177 related items for PubMed ID: 24928559
1. Detecting overlapping protein complexes based on a generative model with functional and topological properties. Zhang XF, Dai DQ, Ou-Yang L, Yan H. BMC Bioinformatics; 2014 Jun 13; 15():186. PubMed ID: 24928559 [Abstract] [Full Text] [Related]
3. Protein complexes discovery based on protein-protein interaction data via a regularized sparse generative network model. Zhang XF, Dai DQ, Li XX. IEEE/ACM Trans Comput Biol Bioinform; 2012 Jun 13; 9(3):857-70. PubMed ID: 22291160 [Abstract] [Full Text] [Related]
4. A density-based clustering approach for identifying overlapping protein complexes with functional preferences. Hu L, Chan KC. BMC Bioinformatics; 2015 May 27; 16():174. PubMed ID: 26013799 [Abstract] [Full Text] [Related]
5. MOEPGA: A novel method to detect protein complexes in yeast protein-protein interaction networks based on MultiObjective Evolutionary Programming Genetic Algorithm. Cao B, Luo J, Liang C, Wang S, Song D. Comput Biol Chem; 2015 Oct 27; 58():173-81. PubMed ID: 26298638 [Abstract] [Full Text] [Related]
6. Functional module identification in protein interaction networks by interaction patterns. Wang Y, Qian X. Bioinformatics; 2014 Jan 01; 30(1):81-93. PubMed ID: 24085567 [Abstract] [Full Text] [Related]
7. Protein complex prediction via dense subgraphs and false positive analysis. Hernandez C, Mella C, Navarro G, Olivera-Nappa A, Araya J. PLoS One; 2017 Jan 01; 12(9):e0183460. PubMed ID: 28937982 [Abstract] [Full Text] [Related]
8. MOfinder: a novel algorithm for detecting overlapping modules from protein-protein interaction network. Yu Q, Li GH, Huang JF. J Biomed Biotechnol; 2012 Jan 01; 2012():103702. PubMed ID: 22500072 [Abstract] [Full Text] [Related]
9. Detecting temporal protein complexes from dynamic protein-protein interaction networks. Ou-Yang L, Dai DQ, Li XL, Wu M, Zhang XF, Yang P. BMC Bioinformatics; 2014 Oct 04; 15(1):335. PubMed ID: 25282536 [Abstract] [Full Text] [Related]
10. Detecting overlapping protein complexes in weighted PPI network based on overlay network chain in quotient space. Zhao J, Lei X. BMC Bioinformatics; 2019 Dec 24; 20(Suppl 25):682. PubMed ID: 31874605 [Abstract] [Full Text] [Related]
11. A multi-network clustering method for detecting protein complexes from multiple heterogeneous networks. Ou-Yang L, Yan H, Zhang XF. BMC Bioinformatics; 2017 Dec 01; 18(Suppl 13):463. PubMed ID: 29219066 [Abstract] [Full Text] [Related]
12. Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data. You ZH, Lei YK, Gui J, Huang DS, Zhou X. Bioinformatics; 2010 Nov 01; 26(21):2744-51. PubMed ID: 20817744 [Abstract] [Full Text] [Related]
13. A core-attachment based method to detect protein complexes in PPI networks. Wu M, Li X, Kwoh CK, Ng SK. BMC Bioinformatics; 2009 Jun 02; 10():169. PubMed ID: 19486541 [Abstract] [Full Text] [Related]
14. Functional centrality: detecting lethality of proteins in protein interaction networks. Tew KL, Li XL, Tan SH. Genome Inform; 2007 Jun 02; 19():166-77. PubMed ID: 18546514 [Abstract] [Full Text] [Related]
15. Identifying protein complexes based on multiple topological structures in PPI networks. Chen B, Wu FX. IEEE Trans Nanobioscience; 2013 Sep 02; 12(3):165-72. PubMed ID: 23974659 [Abstract] [Full Text] [Related]
16. Identification of Protein Complexes Using Weighted PageRank-Nibble Algorithm and Core-Attachment Structure. Peng W, Wang J, Zhao B, Wang L. IEEE/ACM Trans Comput Biol Bioinform; 2015 Sep 02; 12(1):179-92. PubMed ID: 26357088 [Abstract] [Full Text] [Related]
17. Towards the identification of protein complexes and functional modules by integrating PPI network and gene expression data. Li M, Wu X, Wang J, Pan Y. BMC Bioinformatics; 2012 May 23; 13():109. PubMed ID: 22621308 [Abstract] [Full Text] [Related]
18. Modifying the DPClus algorithm for identifying protein complexes based on new topological structures. Li M, Chen JE, Wang JX, Hu B, Chen G. BMC Bioinformatics; 2008 Sep 25; 9():398. PubMed ID: 18816408 [Abstract] [Full Text] [Related]
19. A supervised approach to detect protein complex by combining biological and topological properties. Yu Y, Wang X, Lin L, Sun C, Wang X. Int J Data Min Bioinform; 2013 Sep 25; 8(1):105-21. PubMed ID: 23865168 [Abstract] [Full Text] [Related]
20. Clustering algorithms for detecting functional modules in protein interaction networks. Gao L, Sun PG, Song J. J Bioinform Comput Biol; 2009 Feb 25; 7(1):217-42. PubMed ID: 19226668 [Abstract] [Full Text] [Related] Page: [Next] [New Search]