Deconfounded Dimension Reduction via Partial Embeddings

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 part...

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Detalles Bibliográficos
Autores principales: Chen, Andrew A., Clark, Kelly, Dewey, Blake, DuVal, Anna, Pellegrini, Nicole, Nair, Govind, Jalkh, Youmna, Khalil, Samar, Zurawski, Jon, Calabresi, Peter, Reich, Daniel, Bakshi, Rohit, Shou, Haochang, Shinohara, Russell T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882043/
https://www.ncbi.nlm.nih.gov/pubmed/36711940
http://dx.doi.org/10.1101/2023.01.10.523448

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882043/
https://www.ncbi.nlm.nih.gov/pubmed/36711940
http://dx.doi.org/10.1101/2023.01.10.523448

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