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181 related items for PubMed ID: 34991441
1. Protein complexes detection based on node local properties and gene expression in PPI weighted networks. Yu Y, Kong D. BMC Bioinformatics; 2022 Jan 06; 23(1):24. PubMed ID: 34991441 [Abstract] [Full Text] [Related]
2. Identifying protein complexes based on node embeddings obtained from protein-protein interaction networks. Liu X, Yang Z, Sang S, Zhou Z, Wang L, Zhang Y, Lin H, Wang J, Xu B. BMC Bioinformatics; 2018 Sep 21; 19(1):332. PubMed ID: 30241459 [Abstract] [Full Text] [Related]
3. DPCMNE: Detecting Protein Complexes From Protein-Protein Interaction Networks Via Multi-Level Network Embedding. Meng X, Xiang J, Zheng R, Wu FX, Li M. IEEE/ACM Trans Comput Biol Bioinform; 2022 Sep 21; 19(3):1592-1602. PubMed ID: 33417563 [Abstract] [Full Text] [Related]
4. CACO: A Core-Attachment Method With Cross-Species Functional Ortholog Information to Detect Human Protein Complexes. Wang W, Meng X, Xiang J, Shuai Y, Bedru HD, Li M. IEEE J Biomed Health Inform; 2023 Sep 21; 27(9):4569-4578. PubMed ID: 37399160 [Abstract] [Full Text] [Related]
5. 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]
6. 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 01; 19(5):e1800129. PubMed ID: 30650262 [Abstract] [Full Text] [Related]
7. MCL-CAw: a refinement of MCL for detecting yeast complexes from weighted PPI networks by incorporating core-attachment structure. Srihari S, Ning K, Leong HW. BMC Bioinformatics; 2010 Oct 12; 11():504. PubMed ID: 20939868 [Abstract] [Full Text] [Related]
8. An iteration model for identifying essential proteins by combining comprehensive PPI network with biological information. Li S, Zhang Z, Li X, Tan Y, Wang L, Chen Z. BMC Bioinformatics; 2021 Sep 08; 22(1):430. PubMed ID: 34496745 [Abstract] [Full Text] [Related]
9. Identifying protein complexes based on an edge weight algorithm and core-attachment structure. Wang R, Liu G, Wang C. BMC Bioinformatics; 2019 Sep 14; 20(1):471. PubMed ID: 31521132 [Abstract] [Full Text] [Related]
10. A Seed Expansion Graph Clustering Method for Protein Complexes Detection in Protein Interaction Networks. Wang J, Zheng W, Qian Y, Liang J. Molecules; 2017 Dec 08; 22(12):. PubMed ID: 29292776 [Abstract] [Full Text] [Related]
11. Decision tree classifier based on topological characteristics of subgraph for the mining of protein complexes from large scale PPI networks. Sahoo TR, Patra S, Vipsita S. Comput Biol Chem; 2023 Oct 08; 106():107935. PubMed ID: 37536230 [Abstract] [Full Text] [Related]
12. 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]
13. 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 23; 71():62-9. PubMed ID: 27506132 [Abstract] [Full Text] [Related]
14. 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]
15. Identification of Essential Proteins Based on a New Combination of Local Interaction Density and Protein Complexes. Luo J, Qi Y. PLoS One; 2015 Apr 27; 10(6):e0131418. PubMed ID: 26125187 [Abstract] [Full Text] [Related]
16. Efficient and accurate Greedy Search Methods for mining functional modules in protein interaction networks. He J, Li C, Ye B, Zhong W. BMC Bioinformatics; 2012 Jun 25; 13 Suppl 10(Suppl 10):S19. PubMed ID: 22759424 [Abstract] [Full Text] [Related]
17. Identifying protein complex by integrating characteristic of core-attachment into dynamic PPI network. Shen X, Yi L, Jiang X, He T, Yang J, Xie W, Hu P, Hu X. PLoS One; 2017 Jun 25; 12(10):e0186134. PubMed ID: 29045465 [Abstract] [Full Text] [Related]
18. A new method for the discovery of essential proteins. Zhang X, Xu J, Xiao WX. PLoS One; 2013 Jun 25; 8(3):e58763. PubMed ID: 23555595 [Abstract] [Full Text] [Related]
19. 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 Jun 25; 12(1):179-92. PubMed ID: 26357088 [Abstract] [Full Text] [Related]
20. Detecting protein complexes in a PPI network: a gene ontology based multi-objective evolutionary approach. Mukhopadhyay A, Ray S, De M. Mol Biosyst; 2012 Nov 25; 8(11):3036-48. PubMed ID: 22990765 [Abstract] [Full Text] [Related] Page: [Next] [New Search]