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300 related items for PubMed ID: 30373534
1. Feature related multi-view nonnegative matrix factorization for identifying conserved functional modules in multiple biological networks. Wang P, Gao L, Hu Y, Li F. BMC Bioinformatics; 2018 Oct 29; 19(1):394. PubMed ID: 30373534 [Abstract] [Full Text] [Related]
2. Extracting Stage-Specific and Dynamic Modules Through Analyzing Multiple Networks Associated with Cancer Progression. Ma X, Tang W, Wang P, Guo X, Gao L. IEEE/ACM Trans Comput Biol Bioinform; 2018 Oct 29; 15(2):647-658. PubMed ID: 27845671 [Abstract] [Full Text] [Related]
3. A new multi-scale method to reveal hierarchical modular structures in biological networks. Jiao QJ, Huang Y, Shen HB. Mol Biosyst; 2016 Nov 15; 12(12):3724-3733. PubMed ID: 27783080 [Abstract] [Full Text] [Related]
4. SUBATOMIC: a SUbgraph BAsed mulTi-OMIcs clustering framework to analyze integrated multi-edge networks. Loers JU, Vermeirssen V. BMC Bioinformatics; 2022 Sep 05; 23(1):363. PubMed ID: 36064320 [Abstract] [Full Text] [Related]
5. Arabidopsis gene co-expression network and its functional modules. Mao L, Van Hemert JL, Dash S, Dickerson JA. BMC Bioinformatics; 2009 Oct 21; 10():346. PubMed ID: 19845953 [Abstract] [Full Text] [Related]
7. Generalized gene co-expression analysis via subspace clustering using low-rank representation. Wang T, Zhang J, Huang K. BMC Bioinformatics; 2019 May 01; 20(Suppl 7):196. PubMed ID: 31074376 [Abstract] [Full Text] [Related]
8. MultiSimNeNc: A network representation learning-based module identification method by network embedding and clustering. Wu H, Liang B, Chen Z, Zhang H. Comput Biol Med; 2023 Apr 01; 156():106703. PubMed ID: 36889026 [Abstract] [Full Text] [Related]
9. Multi-Objective Optimization Algorithm to Discover Condition-Specific Modules in Multiple Networks. Ma X, Sun P, Zhao J. Molecules; 2017 Dec 14; 22(12):. PubMed ID: 29240706 [Abstract] [Full Text] [Related]
10. svdPPCS: an effective singular value decomposition-based method for conserved and divergent co-expression gene module identification. Zhang W, Edwards A, Fan W, Zhu D, Zhang K. BMC Bioinformatics; 2010 Jun 22; 11():338. PubMed ID: 20565989 [Abstract] [Full Text] [Related]
11. Integration of multi-omics data to mine cancer-related gene modules. Li P, Guo M, Sun B. J Bioinform Comput Biol; 2019 Dec 22; 17(6):1950038. PubMed ID: 32019413 [Abstract] [Full Text] [Related]
12. SNFM: A semi-supervised NMF algorithm for detecting biological functional modules. Man YT, Liu GM, Yang K, Zhou XZ. Math Biosci Eng; 2019 Mar 07; 16(4):1933-1948. PubMed ID: 31137193 [Abstract] [Full Text] [Related]
16. Exploring matrix factorization techniques for significant genes identification of Alzheimer's disease microarray gene expression data. Kong W, Mou X, Hu X. BMC Bioinformatics; 2011 Mar 07; 12 Suppl 5(Suppl 5):S7. PubMed ID: 21989140 [Abstract] [Full Text] [Related]
17. Matrix factorization methods for integrative cancer genomics. Zhang S, Zhou XJ. Methods Mol Biol; 2014 Mar 07; 1176():229-42. PubMed ID: 25030932 [Abstract] [Full Text] [Related]
18. Identification of regulatory modules in genome scale transcription regulatory networks. Song Q, Grene R, Heath LS, Li S. BMC Syst Biol; 2017 Dec 15; 11(1):140. PubMed ID: 29246163 [Abstract] [Full Text] [Related]
19. Regularized Multi-View Subspace Clustering for Common Modules Across Cancer Stages. Zhang E, Ma X. Molecules; 2018 Apr 26; 23(5):. PubMed ID: 29701681 [Abstract] [Full Text] [Related]
20. Dissection of regulatory networks that are altered in disease via differential co-expression. Amar D, Safer H, Shamir R. PLoS Comput Biol; 2013 Apr 26; 9(3):e1002955. PubMed ID: 23505361 [Abstract] [Full Text] [Related] Page: [Next] [New Search]