285 related articles for article (PubMed ID: 29668304)
21. An uncertain model-based approach for identifying dynamic protein complexes in uncertain protein-protein interaction networks.
Zhang Y; Lin H; Yang Z; Wang J; Liu Y
BMC Genomics; 2017 Oct; 18(Suppl 7):743. PubMed ID: 29513194
[TBL] [Abstract][Full Text] [Related]
22. Improving protein function prediction using domain and protein complexes in PPI networks.
Peng W; Wang J; Cai J; Chen L; Li M; Wu FX
BMC Syst Biol; 2014 Mar; 8():35. PubMed ID: 24655481
[TBL] [Abstract][Full Text] [Related]
23. Predicting protein complexes from weighted protein-protein interaction graphs with a novel unsupervised methodology: Evolutionary enhanced Markov clustering.
Theofilatos K; Pavlopoulou N; Papasavvas C; Likothanassis S; Dimitrakopoulos C; Georgopoulos E; Moschopoulos C; Mavroudi S
Artif Intell Med; 2015 Mar; 63(3):181-9. PubMed ID: 25765008
[TBL] [Abstract][Full Text] [Related]
24. DPCT: A Dynamic Method for Detecting Protein Complexes From TAP-Aware Weighted PPI Network.
SabziNezhad A; Jalili S
Front Genet; 2020; 11():567. PubMed ID: 32676097
[TBL] [Abstract][Full Text] [Related]
25. A supervised protein complex prediction method with network representation learning and gene ontology knowledge.
Wang X; Zhang Y; Zhou P; Liu X
BMC Bioinformatics; 2022 Jul; 23(1):300. PubMed ID: 35879648
[TBL] [Abstract][Full Text] [Related]
26. 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; 13():109. PubMed ID: 22621308
[TBL] [Abstract][Full Text] [Related]
27. Identifying protein complexes based on multiple topological structures in PPI networks.
Chen B; Wu FX
IEEE Trans Nanobioscience; 2013 Sep; 12(3):165-72. PubMed ID: 23974659
[TBL] [Abstract][Full Text] [Related]
28. Predicting overlapping protein complexes from weighted protein interaction graphs by gradually expanding dense neighborhoods.
Dimitrakopoulos C; Theofilatos K; Pegkas A; Likothanassis S; Mavroudi S
Artif Intell Med; 2016 Jul; 71():62-9. PubMed ID: 27506132
[TBL] [Abstract][Full Text] [Related]
29. BMRF-MI: integrative identification of protein interaction network by modeling the gene dependency.
Shi X; Wang X; Shajahan A; Hilakivi-Clarke L; Clarke R; Xuan J
BMC Genomics; 2015; 16 Suppl 7(Suppl 7):S10. PubMed ID: 26099273
[TBL] [Abstract][Full Text] [Related]
30. Prediction of problematic complexes from PPI networks: sparse, embedded, and small complexes.
Yong CH; Wong L
Biol Direct; 2015 Aug; 10():40. PubMed ID: 26231465
[TBL] [Abstract][Full Text] [Related]
31. Identification of Protein Complexes Based on Core-Attachment Structure and Combination of Centrality Measures and Biological Properties in PPI Weighted Networks.
Elahi A; Babamir SM
Protein J; 2020 Dec; 39(6):681-702. PubMed ID: 33040223
[TBL] [Abstract][Full Text] [Related]
32. Construction and application of dynamic protein interaction network based on time course gene expression data.
Wang J; Peng X; Li M; Pan Y
Proteomics; 2013 Jan; 13(2):301-12. PubMed ID: 23225755
[TBL] [Abstract][Full Text] [Related]
33. CPredictor3.0: detecting protein complexes from PPI networks with expression data and functional annotations.
Xu Y; Zhou J; Zhou S; Guan J
BMC Syst Biol; 2017 Dec; 11(Suppl 7):135. PubMed ID: 29322927
[TBL] [Abstract][Full Text] [Related]
34. Identifying protein complexes based on an edge weight algorithm and core-attachment structure.
Wang R; Liu G; Wang C
BMC Bioinformatics; 2019 Sep; 20(1):471. PubMed ID: 31521132
[TBL] [Abstract][Full Text] [Related]
35. SAlign-a structure aware method for global PPI network alignment.
Ayub U; Haider I; Naveed H
BMC Bioinformatics; 2020 Nov; 21(1):500. PubMed ID: 33148180
[TBL] [Abstract][Full Text] [Related]
36. A three-phase method for identifying functionally related protein groups in weighted PPI networks.
Grbić M; Matić D; Kartelj A; Vračević S; Filipović V
Comput Biol Chem; 2020 Jun; 86():107246. PubMed ID: 32339914
[TBL] [Abstract][Full Text] [Related]
37. Twadn: an efficient alignment algorithm based on time warping for pairwise dynamic networks.
Zhong Y; Li J; He J; Gao Y; Liu J; Wang J; Shang X; Hu J
BMC Bioinformatics; 2020 Sep; 21(Suppl 13):385. PubMed ID: 32938373
[TBL] [Abstract][Full Text] [Related]
38. From Function to Interaction: A New Paradigm for Accurately Predicting Protein Complexes Based on Protein-to-Protein Interaction Networks.
Xu B; Guan J
IEEE/ACM Trans Comput Biol Bioinform; 2014; 11(4):616-27. PubMed ID: 26356332
[TBL] [Abstract][Full Text] [Related]
39. A Type-2 fuzzy data fusion approach for building reliable weighted protein interaction networks with application in protein complex detection.
Mehranfar A; Ghadiri N; Kouhsar M; Golshani A
Comput Biol Med; 2017 Sep; 88():18-31. PubMed ID: 28672176
[TBL] [Abstract][Full Text] [Related]
40. Protein complexes detection based on node local properties and gene expression in PPI weighted networks.
Yu Y; Kong D
BMC Bioinformatics; 2022 Jan; 23(1):24. PubMed ID: 34991441
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]