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231 related items for PubMed ID: 37532987
1. Molecular complex detection in protein interaction networks through reinforcement learning. Palukuri MV, Patil RS, Marcotte EM. BMC Bioinformatics; 2023 Aug 02; 24(1):306. PubMed ID: 37532987 [Abstract] [Full Text] [Related]
2. Super.Complex: A supervised machine learning pipeline for molecular complex detection in protein-interaction networks. Palukuri MV, Marcotte EM. PLoS One; 2021 Aug 02; 16(12):e0262056. PubMed ID: 34972161 [Abstract] [Full Text] [Related]
3. Super.Complex: A supervised machine learning pipeline for molecular complex detection in protein-interaction networks. Palukuri MV, Marcotte EM. bioRxiv; 2021 Oct 11. PubMed ID: 34189530 [Abstract] [Full Text] [Related]
4. 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]
5. Protein Complexes Detection Based on Semi-Supervised Network Embedding Model. Zhu J, Zheng Z, Yang M, Fung GPC, Huang C. IEEE/ACM Trans Comput Biol Bioinform; 2021 Sep 21; 18(2):797-803. PubMed ID: 31581089 [Abstract] [Full Text] [Related]
6. Detection of Complexes in Biological Networks Through Diversified Dense Subgraph Mining. Ma X, Zhou G, Shang J, Wang J, Peng J, Han J. J Comput Biol; 2017 Sep 21; 24(9):923-941. PubMed ID: 28570104 [Abstract] [Full Text] [Related]
7. 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 Sep 21; 11(4):616-27. PubMed ID: 26356332 [Abstract] [Full Text] [Related]
8. 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]
9. 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 25; 23(1):300. PubMed ID: 35879648 [Abstract] [Full Text] [Related]
10. 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]
11. From communities to protein complexes: A local community detection algorithm on PPI networks. Dilmaghani S, Brust MR, Ribeiro CHC, Kieffer E, Danoy G, Bouvry P. PLoS One; 2022 Dec 01; 17(1):e0260484. PubMed ID: 35085263 [Abstract] [Full Text] [Related]
12. Protein complex prediction via dense subgraphs and false positive analysis. Hernandez C, Mella C, Navarro G, Olivera-Nappa A, Araya J. PLoS One; 2017 Dec 01; 12(9):e0183460. PubMed ID: 28937982 [Abstract] [Full Text] [Related]
13. Predicting protein complexes using a supervised learning method combined with local structural information. Dong Y, Sun Y, Qin C. PLoS One; 2018 Dec 01; 13(3):e0194124. PubMed ID: 29554120 [Abstract] [Full Text] [Related]
14. Supervised maximum-likelihood weighting of composite protein networks for complex prediction. Yong CH, Liu G, Chua HN, Wong L. BMC Syst Biol; 2012 Dec 01; 6 Suppl 2(Suppl 2):S13. PubMed ID: 23281936 [Abstract] [Full Text] [Related]
15. 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]
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 Jun 25; 12(1):179-92. PubMed ID: 26357088 [Abstract] [Full Text] [Related]
17. 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 25; 63(3):181-9. PubMed ID: 25765008 [Abstract] [Full Text] [Related]
18. Identification of protein complexes by integrating multiple alignment of protein interaction networks. Ma CY, Chen YP, Berger B, Liao CS. Bioinformatics; 2017 Jun 01; 33(11):1681-1688. PubMed ID: 28130237 [Abstract] [Full Text] [Related]
19. Identifying protein complexes in protein-protein interaction networks by using clique seeds and graph entropy. Chen B, Shi J, Zhang S, Wu FX. Proteomics; 2013 Jan 01; 13(2):269-77. PubMed ID: 23112006 [Abstract] [Full Text] [Related]
20. 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 01; 106():107935. PubMed ID: 37536230 [Abstract] [Full Text] [Related] Page: [Next] [New Search]