no code implementations • 15 Apr 2024 • Doron Haviv, Russell Zhang Kunes, Thomas Dougherty, Cassandra Burdziak, Tal Nawy, Anna Gilbert, Dana Pe'er
Along with an encoder that maps distributions to embeddings, Wasserstein Wormhole includes a decoder that maps embeddings back to distributions, allowing for operations in the embedding space to generalize to OT spaces, such as Wasserstein barycenter estimation and OT interpolation.
no code implementations • 12 Aug 2022 • Russell Z. Kunes, Mingzhang Yin, Max Land, Doron Haviv, Dana Pe'er, Simon Tavaré
Gradient estimation is often necessary for fitting generative models with discrete latent variables, in contexts such as reinforcement learning and variational autoencoder (VAE) training.
2 code implementations • 21 Aug 2021 • Denis Schapiro, Clarence Yapp, Artem Sokolov, Sheila M. Reynolds, Yu-An Chen, Damir Sudar, Yubin Xie, Jeremy L. Muhlich, Raquel Arias-Camison, Sarah Arena, Adam J. Taylor, Milen Nikolov, Madison Tyler, Jia-Ren Lin, Erik A. Burlingame, Human Tumor Atlas Network, Young H. Chang, Samouil L Farhi, Vésteinn Thorsson, Nithya Venkatamohan, Julia L. Drewes, Dana Pe'er, David A. Gutman, Markus D. Herrmann, Nils Gehlenborg, Peter Bankhead, Joseph T. Roland, John M. Herndon, Michael P. Snyder, Michael Angelo, Garry Nolan, Jason R. Swedlow, Nikolaus Schultz, Daniel T. Merrick, Sarah A. Mazzilli, Ethan Cerami, Scott J. Rodig, Sandro Santagata, Peter K. Sorger
The imminent release of tissue atlases combining multi-channel microscopy with single cell sequencing and other omics data from normal and diseased specimens creates an urgent need for data and metadata standards that guide data deposition, curation and release.
no code implementations • 21 Feb 2019 • Cassandra Burdziak, Elham Azizi, Sandhya Prabhakaran, Dana Pe'er
We present a Bayesian hierarchical multi-view mixture model termed Symphony that simultaneously learns clusters of cells representing cell types and their underlying gene regulatory networks by integrating data from two views: single-cell gene expression data and paired epigenetic data, which is informative of gene-gene interactions.