These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
Pubmed for Handhelds
PUBMED FOR HANDHELDS
Journal Abstract Search
171 related items for PubMed ID: 27100396
1. Mining Temporal Protein Complex Based on the Dynamic PIN Weighted with Connected Affinity and Gene Co-Expression. Shen X, Yi L, Jiang X, He T, Hu X, Yang J. PLoS One; 2016; 11(4):e0153967. PubMed ID: 27100396 [Abstract] [Full Text] [Related]
2. 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 [Abstract] [Full Text] [Related]
3. Construction of dynamic protein interaction network based on gene expression data and quartile one principle. Noori S, Al-A'araji N, Al-Shamery E. Proteins; 2022 May; 90(5):1219-1228. PubMed ID: 35064702 [Abstract] [Full Text] [Related]
4. Identification of Protein Complexes by Using a Spatial and Temporal Active Protein Interaction Network. Li M, Meng X, Zheng R, Wu FX, Li Y, Pan Y, Wang J. IEEE/ACM Trans Comput Biol Bioinform; 2020 May; 17(3):817-827. PubMed ID: 28885159 [Abstract] [Full Text] [Related]
5. 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]
6. 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 25; 17 Suppl 7(Suppl 7):229. PubMed ID: 27454775 [Abstract] [Full Text] [Related]
7. Neighbor affinity based algorithm for discovering temporal protein complex from dynamic PPI network. Shen X, Yi L, Jiang X, Zhao Y, Hu X, He T, Yang J. Methods; 2016 Nov 01; 110():90-96. PubMed ID: 27320204 [Abstract] [Full Text] [Related]
8. Construction of Refined Protein Interaction Network for Predicting Essential Proteins. Li M, Ni P, Chen X, Wang J, Wu FX, Pan Y. IEEE/ACM Trans Comput Biol Bioinform; 2019 Nov 01; 16(4):1386-1397. PubMed ID: 28186903 [Abstract] [Full Text] [Related]
9. Construction of dynamic probabilistic protein interaction networks for protein complex identification. Zhang Y, Lin H, Yang Z, Wang J. BMC Bioinformatics; 2016 Apr 27; 17(1):186. PubMed ID: 27117946 [Abstract] [Full Text] [Related]
10. 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 27; 25(6):586-605. PubMed ID: 29668304 [Abstract] [Full Text] [Related]
11. Identifying Protein Complexes from Dynamic Temporal Interval Protein-Protein Interaction Networks. Zhang J, Zhong C, Lin HX, Wang M. Biomed Res Int; 2019 Jun 27; 2019():3726721. PubMed ID: 31531351 [Abstract] [Full Text] [Related]
12. Temporal Protein Complex Identification Based on Dynamic Heterogeneous Protein Information Network Representation Learning. Li Z, Zhang Y, Zhou P. IEEE/ACM Trans Comput Biol Bioinform; 2024 Jun 27; 21(5):1154-1164. PubMed ID: 38190662 [Abstract] [Full Text] [Related]
13. Identification of protein complexes from multi-relationship protein interaction networks. Li X, Wang J, Zhao B, Wu FX, Pan Y. Hum Genomics; 2016 Jul 25; 10 Suppl 2(Suppl 2):17. PubMed ID: 27461193 [Abstract] [Full Text] [Related]
14. A New Method for Predicting Protein Functions From Dynamic Weighted Interactome Networks. Zhao B, Wang J, Li M, Li X, Li Y, Wu FX, Pan Y. IEEE Trans Nanobioscience; 2016 Mar 25; 15(2):131-9. PubMed ID: 26955047 [Abstract] [Full Text] [Related]
15. DTFP-Growth: Dynamic Threshold-Based FP-Growth Rule Mining Algorithm Through Integrating Gene Expression, Methylation, and Protein-Protein Interaction Profiles. Mallik S, Bhadra T, Mukherji A, Mallik S, Bhadra T, Mukherji A, Mallik S, Bhadra T, Mukherji A. IEEE Trans Nanobioscience; 2018 Apr 25; 17(2):117-125. PubMed ID: 29870335 [Abstract] [Full Text] [Related]
16. 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 25; 19(5):e1800129. PubMed ID: 30650262 [Abstract] [Full Text] [Related]
17. Exploiting locational and topological overlap model to identify modules in protein interaction networks. Cheng L, Liu P, Wang D, Leung KS. BMC Bioinformatics; 2019 Jan 14; 20(1):23. PubMed ID: 30642247 [Abstract] [Full Text] [Related]
18. 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 Jan 14; 11(4):616-27. PubMed ID: 26356332 [Abstract] [Full Text] [Related]
19. PCE-FR: A Novel Method for Identifying Overlapping Protein Complexes in Weighted Protein-Protein Interaction Networks Using Pseudo-Clique Extension Based on Fuzzy Relation. Cao B, Luo J, Liang C, Wang S, Ding P. IEEE Trans Nanobioscience; 2016 Oct 14; 15(7):728-738. PubMed ID: 27662678 [Abstract] [Full Text] [Related]
20. Identifying protein complexes based on density and modularity in protein-protein interaction network. Ren J, Wang J, Li M, Wang L. BMC Syst Biol; 2013 Oct 14; 7 Suppl 4(Suppl 4):S12. PubMed ID: 24565048 [Abstract] [Full Text] [Related] Page: [Next] [New Search]