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For: Pellegrini M, Baglioni M, Geraci F. Protein complex prediction for large protein protein interaction networks with the Core&Peel method. BMC Bioinformatics 2016;17:372. [PMID: 28185552 DOI: 10.1186/s12859-016-1191-6] [Cited by in Crossref: 22] [Cited by in F6Publishing: 22] [Article Influence: 3.7] [Reference Citation Analysis]
Number Citing Articles
1 Omranian S, Nikoloski Z, Grimm DG. Computational identification of protein complexes from network interactions: Present state, challenges, and the way forward. Computational and Structural Biotechnology Journal 2022. [DOI: 10.1016/j.csbj.2022.05.049] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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3 Shahidul Islam M, Rafiqul Islam M, Ali AS. Protein complex prediction in large protein-protein interaction network. Informatics in Medicine Unlocked 2022. [DOI: 10.1016/j.imu.2022.100947] [Reference Citation Analysis]
4 Caudai C, Galizia A, Geraci F, Le Pera L, Morea V, Salerno E, Via A, Colombo T. AI applications in functional genomics. Comput Struct Biotechnol J 2021;19:5762-90. [PMID: 34765093 DOI: 10.1016/j.csbj.2021.10.009] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
5 Omranian S, Angeleska A, Nikoloski Z. Efficient and accurate identification of protein complexes from protein-protein interaction networks based on the clustering coefficient. Comput Struct Biotechnol J 2021;19:5255-63. [PMID: 34630943 DOI: 10.1016/j.csbj.2021.09.014] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Pellegrini M. Accurate prediction of breast cancer survival through coherent voting networks with gene expression profiling. Sci Rep 2021;11:14645. [PMID: 34282236 DOI: 10.1038/s41598-021-94243-z] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Hu L, Zhang J, Pan X, Yan H, You ZH. HiSCF: leveraging higher-order structures for clustering analysis in biological networks. Bioinformatics 2021;37:542-50. [PMID: 32931549 DOI: 10.1093/bioinformatics/btaa775] [Cited by in Crossref: 5] [Cited by in F6Publishing: 17] [Article Influence: 5.0] [Reference Citation Analysis]
8 Wang Y, Li Z, Zhang Y, Ma Y, Huang Q, Chen X, Dai Z, Zou X. Performance improvement for a 2D convolutional neural network by using SSC encoding on protein-protein interaction tasks. BMC Bioinformatics 2021;22:184. [PMID: 33845759 DOI: 10.1186/s12859-021-04111-w] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
9 Omranian S, Angeleska A, Nikoloski Z. PC2P: Parameter-free network-based prediction of protein complexes. Bioinformatics 2021:btaa1089. [PMID: 33416831 DOI: 10.1093/bioinformatics/btaa1089] [Cited by in F6Publishing: 5] [Reference Citation Analysis]
10 Wu Z, Liao Q, Fan S, Liu B. idenPC-CAP: Identify protein complexes from weighted RNA-protein heterogeneous interaction networks using co-assemble partner relation. Brief Bioinform 2021;22:bbaa372. [PMID: 33333549 DOI: 10.1093/bib/bbaa372] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
11 Lucchetta M, Pellegrini M. Finding disease modules for cancer and COVID-19 in gene co-expression networks with the Core&Peel method. Sci Rep 2020;10:17628. [PMID: 33077837 DOI: 10.1038/s41598-020-74705-6] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
12 Wu Z, Liao Q, Liu B. idenPC-MIIP: identify protein complexes from weighted PPI networks using mutual important interacting partner relation. Brief Bioinform 2021;22:1972-83. [PMID: 32065215 DOI: 10.1093/bib/bbaa016] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
13 Malliaros FD, Giatsidis C, Papadopoulos AN, Vazirgiannis M. The core decomposition of networks: theory, algorithms and applications. The VLDB Journal 2020;29:61-92. [DOI: 10.1007/s00778-019-00587-4] [Cited by in Crossref: 25] [Cited by in F6Publishing: 17] [Article Influence: 8.3] [Reference Citation Analysis]
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15 Wu Z, Liao Q, Liu B. A comprehensive review and evaluation of computational methods for identifying protein complexes from protein–protein interaction networks. Briefings in Bioinformatics 2020;21:1531-48. [DOI: 10.1093/bib/bbz085] [Cited by in Crossref: 11] [Cited by in F6Publishing: 15] [Article Influence: 3.7] [Reference Citation Analysis]
16 Badal VD, Wright D, Katsis Y, Kim HC, Swafford AD, Knight R, Hsu CN. Challenges in the construction of knowledge bases for human microbiome-disease associations. Microbiome 2019;7:129. [PMID: 31488215 DOI: 10.1186/s40168-019-0742-2] [Cited by in Crossref: 21] [Cited by in F6Publishing: 20] [Article Influence: 7.0] [Reference Citation Analysis]
17 Inostroza D, Hernández C, Seco D, Navarro G, Olivera-Nappa A. Cell cycle and protein complex dynamics in discovering signaling pathways. J Bioinform Comput Biol 2019;17:1950011. [PMID: 31230498 DOI: 10.1142/S0219720019500112] [Reference Citation Analysis]
18 Liang L, Chen V, Zhu K, Fan X, Lu X, Lu S. Integrating data and knowledge to identify functional modules of genes: a multilayer approach. BMC Bioinformatics 2019;20:225. [PMID: 31046665 DOI: 10.1186/s12859-019-2800-y] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
19 Liu X, Yang Z, Sang S, Zhou Z, Wang L, Zhang Y, Lin H, Wang J, Xu B. Identifying protein complexes based on node embeddings obtained from protein-protein interaction networks. BMC Bioinformatics 2018;19:332. [PMID: 30241459 DOI: 10.1186/s12859-018-2364-2] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.8] [Reference Citation Analysis]
20 Stöcker BK, Köster J, Zamir E, Rahmann S. Modeling and simulating networks of interdependent protein interactions. Integr Biol (Camb) 2018;10:290-305. [PMID: 29676773 DOI: 10.1039/c8ib00012c] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 0.8] [Reference Citation Analysis]
21 Xu Y, Zhou J, Zhou S, Guan J. CPredictor3.0: detecting protein complexes from PPI networks with expression data and functional annotations. BMC Syst Biol 2017;11:135. [PMID: 29322927 DOI: 10.1186/s12918-017-0504-3] [Cited by in Crossref: 9] [Cited by in F6Publishing: 5] [Article Influence: 1.8] [Reference Citation Analysis]
22 Hernandez C, Mella C, Navarro G, Olivera-Nappa A, Araya J. Protein complex prediction via dense subgraphs and false positive analysis. PLoS One 2017;12:e0183460. [PMID: 28937982 DOI: 10.1371/journal.pone.0183460] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 1.2] [Reference Citation Analysis]