Feature-guided clustering of multi-dimensional flow cytometry datasets
نویسندگان
چکیده
منابع مشابه
Feature-guided clustering of multi-dimensional flow cytometry datasets
BACKGROUND Flow cytometry produces large multi-dimensional datasets of the physical and molecular characteristics of individual cells. The objective of this study was to simplify the cytometry datasets by arranging or clustering "objects" (cells) into a smaller number of relatively homogeneous groups (clusters) on the basis of interobject similarities and dissimilarities. RESULTS The algorith...
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ژورنال
عنوان ژورنال: Journal of Biomedical Informatics
سال: 2007
ISSN: 1532-0464
DOI: 10.1016/j.jbi.2006.06.005