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Questions tagged [pca]

Principal Components Analysis. A statistical method used to reduce the dimensionality of a dataset while keeping as much variance in the first principal components as possible. It can be used to visualise samples with many variables in 2-D or 3-D, thus allowing for a visual non-supervised grouping of points.

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Filter out PCA outliers automatically

I am new to bioinformatics and PCA. What I am trying to do is to remove bad cells from a dataset that was obtained with scRNA-seq for ...
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3D PCA group labelling

I would like to make a 3D PCA but not sure how to label group wise which i can do for 2D PCA ...