Fast Optimization of Robust Transcriptomics Embeddings using Probabilistic Inference Autoencoder Networks for multi-Omics
Ning Wang, David Turner, Hannah Feinberg, Victor Eduardo Nieto Caballero, Dan Yuan, Nathaniel Scott, Christopher Cardenas, Michael DeBerardine, Shu Dan, Lakme Caceres, Jessica Schembri, Zizhen Yao, Changkyu Lee, Jonathan W. Pillow, Fenna M. Krienen
The paper introduces PIANO, a variational autoencoder for multi-omics integration, showing improved performance on single-species and multi-atlas datasets.
bioRxiv · Nov 16, 2025 · PreprintNeuroscience