An interactive multivariate analysis of FCM data.

Y Kosugi; R Sato; S Genka; N Shitara; K Takakura

doi:10.1002/cyto.990090419

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An interactive multivariate analysis of FCM data.

Y Kosugi·R Sato·S Genka·N Shitara·K Takakura

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Abstract

The procedure and results of the interactive multivariate analysis of FCM data are described. Using principal-components analysis, cluster analysis, and interactive maneuvers, this procedure facilitates an effective data compression from a four-dimensional space into two-dimensional space, then allows cluster separation. The procedure is especially effective for separating clusters, which are degenerated in the usual scattergrams. Programs were mostly written in C language on MS-DOS and were tested on four-dimensional analysis of the blood cells, which resulted in a successful separation of the degenerated clusters.

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Cell Separation Computer Systems Data Interpretation, Statistical Flow Cytometry Humans T-Lymphocytes Journal Article Research Support, Non-U.S. Gov't

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Y Kosugi, R Sato, S Genka, N Shitara, K Takakura. 1988. An interactive multivariate analysis of FCM data.. https://doi.org/10.1002/cyto.990090419

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