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Conceptualizing type 2 diabetes and its management.
Tsasis P, Wu J, An A, Wong HJ, An X, Mei Z, Hains T. Tsasis P, et al. Among authors: an a, an x. J Multidiscip Healthc. 2016 Mar 26;9:133-6. doi: 10.2147/JMDH.S88684. eCollection 2016. J Multidiscip Healthc. 2016. PMID: 27099510 Free PMC article. Review.
Mining significant high utility gene regulation sequential patterns.
Zihayat M, Davoudi H, An A. Zihayat M, et al. Among authors: an a. BMC Syst Biol. 2017 Dec 14;11(Suppl 6):109. doi: 10.1186/s12918-017-0475-4. BMC Syst Biol. 2017. PMID: 29297335 Free PMC article.
BACKGROUND: Mining frequent gene regulation sequential patterns in time course microarray datasets is an important mining task in bioinformatics. Although finding such patterns are of paramount important for studying a disease, most existing work do not consider gen …
BACKGROUND: Mining frequent gene regulation sequential patterns in time course microarray datasets is an important mining task in bio …
Clustering by common friends finds locally significant proteins mediating modules.
Andreopoulos B, An A, Wang X, Faloutsos M, Schroeder M. Andreopoulos B, et al. Among authors: an a. Bioinformatics. 2007 May 1;23(9):1124-31. doi: 10.1093/bioinformatics/btm064. Epub 2007 Feb 21. Bioinformatics. 2007. PMID: 17314122
Identifying locally significant proteins that mediate the function of modules is still an open problem. METHOD: We use a layered clustering algorithm for interaction networks, which groups proteins by the similarity of their direct neighborhoods. ...We analyzed the …
Identifying locally significant proteins that mediate the function of modules is still an open problem. METHOD: We use a layer …
Efficient layered density-based clustering of categorical data.
Andreopoulos B, An A, Wang X, Labudde D. Andreopoulos B, et al. Among authors: an a. J Biomed Inform. 2009 Apr;42(2):365-76. doi: 10.1016/j.jbi.2008.11.004. Epub 2008 Dec 10. J Biomed Inform. 2009. PMID: 19111944 Free article.
A challenge involved in applying density-based clustering to categorical biomedical data is that the "cube" of attribute values has no ordering defined, making the search for dense subspaces slow. We propose the HIERDENC algorithm for hierarchical density-based clustering …
A challenge involved in applying density-based clustering to categorical biomedical data is that the "cube" of attribute values has n …
202 results