Article

Deconfounded Dimension Reduction via Partial Embeddings

2023-01-11

Abstract excerpt

Dimension reduction tools preserving similarity and graph structure such as t -SNE and UMAP can capture complex biological patterns in high-dimensional data. However, these tools typically are not designed to separate effects of interest from unwanted effects due to confounders. We introduce the partial embedding (PARE) framework, which enables removal of confounders from any distance-based dimension reduction me...

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Literature Corpus work: f53575e8-4dcd-53a9-94ee-7b2f53010bb2
DOI: 10.1101/2023.01.10.523448

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