Scatter Plot from Scientific Research

Open access visualization of Scatter Plot, PCA, Single Cell Analysis, Principal Component Analysis, Surprisal Component Analysis
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Illustration of SCA’s key conceptual advance. The vertical axis separates a small cellular population (top) from a larger one (bottom). The two horizontal axes have higher variance but cannot separate the two populations. The leading principal components align with the higher-variance horizontal axes and fail to separate the populations. The leading surprisal component aligns with the more informative vertical axis, allowing downstream separation.

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