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1. PoincareMaps PoincareMaps Public

   Forked from facebookresearch/PoincareMaps

   The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRNAseq data. However, existing techniques are based on Euclide…

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2. facebookresearch/PoincareMaps facebookresearch/PoincareMaps Public archive

   The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRNAseq data. However, existing techniques are based on Euclide…

   HTML 147 31

3. facebookresearch/CPA facebookresearch/CPA Public archive

   The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of dr…

   Jupyter Notebook 178 46

4. sigoat sigoat Public

   Code for the paper: "Signal Domain Learning Approach for Optoacoustic Image Reconstruction from Limited View Data"

   Python 5 1

5. DSIMB/PoincareMSA DSIMB/PoincareMSA Public

   Detection of the structural, evolutionary and functional relationship between different proteins and protein families requires comparative analysis of their amino acid sequences through multiple se…

   Jupyter Notebook 11 3