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204 related items for PubMed ID: 36525308
1. NetMix2: A Principled Network Propagation Algorithm for Identifying Altered Subnetworks. Chitra U, Park TY, Raphael BJ. J Comput Biol; 2022 Dec; 29(12):1305-1323. PubMed ID: 36525308 [Abstract] [Full Text] [Related]
2. Incorporating topological information for predicting robust cancer subnetwork markers in human protein-protein interaction network. Khunlertgit N, Yoon BJ. BMC Bioinformatics; 2016 Oct 06; 17(Suppl 13):351. PubMed ID: 27766944 [Abstract] [Full Text] [Related]
4. NetMix: A Network-Structured Mixture Model for Reduced-Bias Estimation of Altered Subnetworks. Reyna MA, Chitra U, Elyanow R, Raphael BJ. J Comput Biol; 2021 May 06; 28(5):469-484. PubMed ID: 33400606 [Abstract] [Full Text] [Related]
6. Identification of significantly mutated subnetworks in the breast cancer genome. Ajwad R, Domaratzki M, Liu Q, Feizi N, Hu P. Sci Rep; 2021 Jan 12; 11(1):642. PubMed ID: 33436820 [Abstract] [Full Text] [Related]
7. Identification of highly synchronized subnetworks from gene expression data. Gao S, Wang X. BMC Bioinformatics; 2013 Jan 12; 14 Suppl 9(Suppl 9):S5. PubMed ID: 23901792 [Abstract] [Full Text] [Related]
8. A physarum-inspired prize-collecting steiner tree approach to identify subnetworks for drug repositioning. Sun Y, Hameed PN, Verspoor K, Halgamuge S. BMC Syst Biol; 2016 Dec 05; 10(Suppl 5):128. PubMed ID: 28105946 [Abstract] [Full Text] [Related]
9. A scalable method for discovering significant subnetworks. Hasan MM, Kavurucu Y, Kahveci T. BMC Syst Biol; 2013 Dec 05; 7 Suppl 4(Suppl 4):S3. PubMed ID: 24565174 [Abstract] [Full Text] [Related]
10. NoMAS: A Computational Approach to Find Mutated Subnetworks Associated With Survival in Genome-Wide Cancer Studies. Altieri F, Hansen TV, Vandin F. Front Genet; 2019 Dec 05; 10():265. PubMed ID: 31024613 [Abstract] [Full Text] [Related]
11. Smell Detection Agent Optimisation Framework and Systems Biology Approach to Detect Dys-Regulated Subnetwork in Cancer Data. Sivan SL, Sukumara Pillai VCS. Biomolecules; 2021 Dec 27; 12(1):. PubMed ID: 35053185 [Abstract] [Full Text] [Related]
12. Comparison of statistical methods for subnetwork detection in the integration of gene expression and protein interaction network. He H, Lin D, Zhang J, Wang YP, Deng HW. BMC Bioinformatics; 2017 Mar 03; 18(1):149. PubMed ID: 28253853 [Abstract] [Full Text] [Related]
13. Discovery of mutated subnetworks associated with clinical data in cancer. Vandin F, Clay P, Upfal E, Raphael BJ. Pac Symp Biocomput; 2012 Mar 03; ():55-66. PubMed ID: 22174262 [Abstract] [Full Text] [Related]
14. SSGA and MSGA: two seed-growing algorithms for constructing collaborative subnetworks. Ji X, Chen S, Li JC, Deng W, Wei Z, Wei H. Sci Rep; 2017 May 03; 7(1):1446. PubMed ID: 28469138 [Abstract] [Full Text] [Related]
16. Identification of hub subnetwork based on topological features of genes in breast cancer. Zhuang DY, Jiang L, He QQ, Zhou P, Yue T. Int J Mol Med; 2015 Mar 03; 35(3):664-74. PubMed ID: 25573623 [Abstract] [Full Text] [Related]
18. BMRF-MI: integrative identification of protein interaction network by modeling the gene dependency. Shi X, Wang X, Shajahan A, Hilakivi-Clarke L, Clarke R, Xuan J. BMC Genomics; 2015 Mar 03; 16 Suppl 7(Suppl 7):S10. PubMed ID: 26099273 [Abstract] [Full Text] [Related]
20. An Efficient Algorithm for Identifying Mutated Subnetworks Associated with Survival in Cancer. Sarkar A, Atay Y, Erickson AL, Arisi I, Saltini C, Kahveci T. IEEE/ACM Trans Comput Biol Bioinform; 2020 Mar 03; 17(5):1582-1594. PubMed ID: 30990435 [Abstract] [Full Text] [Related] Page: [Next] [New Search]