203 related articles for article (PubMed ID: 31376777)
1. A method for identifying protein complexes with the features of joint co-localization and joint co-expression in static PPI networks.
Zhang J; Zhong C; Huang Y; Lin HX; Wang M
Comput Biol Med; 2019 Aug; 111():103333. PubMed ID: 31376777
[TBL] [Abstract][Full Text] [Related]
2. A Novel Core-Attachment-Based Method to Identify Dynamic Protein Complexes Based on Gene Expression Profiles and PPI Networks.
Xiao Q; Luo P; Li M; Wang J; Wu FX
Proteomics; 2019 Mar; 19(5):e1800129. PubMed ID: 30650262
[TBL] [Abstract][Full Text] [Related]
3. Identifying Protein Complexes from Dynamic Temporal Interval Protein-Protein Interaction Networks.
Zhang J; Zhong C; Lin HX; Wang M
Biomed Res Int; 2019; 2019():3726721. PubMed ID: 31531351
[TBL] [Abstract][Full Text] [Related]
4. A method for predicting protein complex in dynamic PPI networks.
Zhang Y; Lin H; Yang Z; Wang J; Liu Y; Sang S
BMC Bioinformatics; 2016 Jul; 17 Suppl 7(Suppl 7):229. PubMed ID: 27454775
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Neighbor Affinity-Based Core-Attachment Method to Detect Protein Complexes in Dynamic PPI Networks.
Lei X; Liang J
Molecules; 2017 Jul; 22(7):. PubMed ID: 28737728
[TBL] [Abstract][Full Text] [Related]
7. A Method for Predicting Protein Complexes from Dynamic Weighted Protein-Protein Interaction Networks.
Liu L; Sun X; Song W; Du C
J Comput Biol; 2018 Jun; 25(6):586-605. PubMed ID: 29668304
[TBL] [Abstract][Full Text] [Related]
8. Construction of dynamic probabilistic protein interaction networks for protein complex identification.
Zhang Y; Lin H; Yang Z; Wang J
BMC Bioinformatics; 2016 Apr; 17(1):186. PubMed ID: 27117946
[TBL] [Abstract][Full Text] [Related]
9. Identification of protein complexes from multi-relationship protein interaction networks.
Li X; Wang J; Zhao B; Wu FX; Pan Y
Hum Genomics; 2016 Jul; 10 Suppl 2(Suppl 2):17. PubMed ID: 27461193
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Identifying protein complexes and functional modules--from static PPI networks to dynamic PPI networks.
Chen B; Fan W; Liu J; Wu FX
Brief Bioinform; 2014 Mar; 15(2):177-94. PubMed ID: 23780996
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. Identifying protein complexes from protein-protein interaction networks based on the gene expression profile and core-attachment approach.
Noori S; Al-A'Araji N; Al-Shamery E
J Bioinform Comput Biol; 2021 Jun; 19(3):2150009. PubMed ID: 33910494
[TBL] [Abstract][Full Text] [Related]
16. Detecting protein complexes with multiple properties by an adaptive harmony search algorithm.
Wang R; Wang C; Ma H
BMC Bioinformatics; 2022 Oct; 23(1):414. PubMed ID: 36207692
[TBL] [Abstract][Full Text] [Related]
17. IAS: Interaction Specific GO Term Associations for Predicting Protein-Protein Interaction Networks.
Yerneni S; Khan IK; Wei Q; Kihara D
IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(4):1247-1258. PubMed ID: 26415209
[TBL] [Abstract][Full Text] [Related]
18. A seed expansion-based method to identify essential proteins by integrating protein-protein interaction sub-networks and multiple biological characteristics.
Zhao H; Liu G; Cao X
BMC Bioinformatics; 2023 Nov; 24(1):452. PubMed ID: 38036960
[TBL] [Abstract][Full Text] [Related]
19. Identification of core-attachment complexes based on maximal frequent patterns in protein-protein interaction networks.
Yu L; Gao L; Kong C
Proteomics; 2011 Oct; 11(19):3826-34. PubMed ID: 21761565
[TBL] [Abstract][Full Text] [Related]
20. Protein complex prediction in large ontology attributed protein-protein interaction networks.
Zhang Y; Lin H; Yang Z; Wang J; Li Y; Xu B
IEEE/ACM Trans Comput Biol Bioinform; 2013; 10(3):729-41. PubMed ID: 24091405
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
