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04/05/2023
EigenFold: Generative Protein Structure Prediction with Diffusion Models
Protein structure prediction has reached revolutionary levels of accurac...
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03/31/2023
Scalable and Privacy-Preserving Federated Principal Component Analysis
Principal component analysis (PCA) is an essential algorithm for dimensi...
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10/20/2022
Causally-guided Regularization of Graph Attention Improves Generalizability
However, the inferred attentions are vulnerable to spurious correlations...
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10/18/2022
Granger causal inference on DAGs identifies genomic loci regulating transcription
When a dynamical system can be modeled as a sequence of observations, Gr...
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09/25/2019
Explicitly disentangling image content from translation and rotation with spatial-VAE
Given an image dataset, we are often interested in finding data generati...
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09/11/2019
Reconstructing continuously heterogeneous structures from single particle cryo-EM with deep generative models
Cryo-electron microscopy (cryo-EM) is a powerful technique for determini...
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02/22/2019
Learning protein sequence embeddings using information from structure
Inferring the structural properties of a protein from its amino acid seq...
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06/30/2018
Fast Characterization of Segmental Duplications in Genome Assemblies
Segmental duplications (SDs), or low-copy repeats (LCR), are segments of...
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06/01/2018
Large-Margin Classification in Hyperbolic Space
Representing data in hyperbolic space can effectively capture latent hie...
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03/22/2018
Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs
Cryo-electron microscopy (cryoEM) is fast becoming the preferred method ...
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04/10/2015
