Competitive SWIFT cluster templates enhance detection of aging changes - Rebhahn, Jonathan A.; Roumanes, David R.; Qi, Yilin; Khan, Atif; Thakar, Juilee; Rosenberg, Alex; Lee, F. Eun‐Hyung; Quataert, Sally A.; Sharma, Gaurav; Mosmann, Tim R. (Cytometry. Part A, 2016)
Keywords: Adult; Aged; Aged, 80 and over; Aging; Algorithms; automated analysis; Biomarkers - analysis; Change detection; Cluster Analysis; Clustering; Clusters; Competition; competitive clustering; Computational Analysis of Flow Cytometry Data (PART II); Computational Biology - methods; Cytometry; Data Interpretation, Statistical; Datasets; EM algorithm; Female; Flow cytometry; Flow Cytometry - methods; Fluorescence; Geriatrics; Humans; immunophenotyping; Immunophenotyping - methods; Leukocytes, Mononuclear - cytology; Leukocytes, Mononuclear - immunology; Male; Middle Aged; Older people; sample comparison; Sex Factors; Sharpening; Subpopulations; SWIFT; template; Young Adult; template; immunophenotyping; competitive clustering; SWIFT; sample comparison; flow cytometry; automated analysis; EM algorithm