sneezy: Interactively explore non-linear projections like t-SNE

Description Usage Arguments Details Value

Align/rotate one embedding onto another

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align_embedding(x, y, ...)

rotate_embedding(x, y, ...)

`x`	a numeric matrix of unaligned embedding coordinates
`y`	a numeric matrix to align 'x“ to
`...`	other arguments to pass BiocSingular::runSVD

This is a (naive implementation) of Procuste's analysis, the goal is to find a rotation matrix that most closely aligns the matrix x to the matrix y by centering and rescaling. One method of solving this problem is to perform singular value decomposition on crossprod(y - colMeans(y), x - colMeans(x)).

A matrix of dimension equal to x

sa-lee/sneezy documentation built on Nov. 25, 2019, 12:38 p.m.