Deconfounded Dimension Reduction via Partial Embeddings
Andrew A. Chen, Kelly A. Clark, Blake E. Dewey, Anna L. DuVal, Nicole Pellegrini, Govind Nair, Youmna Jalkh, Samar Khalil, Jon Zurawski, Peter A. Calabresi, Daniel S. Reich, Rohit Bakshi, Haochang Shou, Russell Taki Shinohara, the Alzheimer’s Disease Neuroimaging Initiative, the North American Imaging in Multiple Sclerosis Cooperative
The paper introduces the PARE framework to remove confounders from dimension reduction methods, showing it can eliminate batch effects in single-cell data and separate clinical from technical variability in neuroimaging.
bioRxiv · Jan 10, 2023 · PreprintNeuroscience