This technique adopts the brain metaphor for information processing. The problem-solving structure is configured as a connectionist network. Information is ...
Abstract--In dealing with massive flow cytometric data, a real-time adaptive clustering technique referred to as RTAC has been developed.
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This technique adopts the brain metaphor for information processing. The problem-solving structure is configured as a connectionist network. Information is ...
Visual Representation of Cell Subpopulation from Flow Cytometry ...
www.ncbi.nlm.nih.gov › PMC1480342
We clustered flow cytometry data of bone marrow cells into subpopulations using a clustering algorithm with its physical characteristics (cell size and cell ...
Mixture-model based clustering has been several times applied in the past to medical and biological data analysis; to our knowledge, however, non of these ...
Sep 4, 2023 · ... real-time exploration, and is freely available online ... flowPeaks: a fast unsupervised clustering for flow cytometry data via K-means and ...
Jan 3, 2022 · Mass Cytometry: Technique for Real Time Single Cell Multitarget Immunoassay Based on Inductively Coupled Plasma Time-Of-Flight Mass Spectrometry ...
We describe methodology and software to automatically identify cell populations in flow cytometry data. Our approach advances the paradigm of manually gating ...
Sep 17, 2020 · We applied LAMBDA to real world flow and mass cytometry data. ... The purpose of this study is identifying the associations of cell populations ...
Missing: adaptive | Show results with:adaptive
... , Yang M, Braylan R, Benson N. Real-time adaptive clustering of flow cytometric data. Pattern Recog Lett 1993;26:365–373. 209. PATTERN RECOGNITION IN FLOW ...