activity
20122022
most citedPositive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs

1.9k citations · 4.7k across the 18 of their papers we have counts for

collaborators

18 papers

cs.LG2022★ 5 cited

Granger causal inference on DAGs identifies genomic loci regulating transcription

Rohit Singh, Alexander P. Wu, Bonnie Berger

When a dynamical system can be modeled as a sequence of observations, Granger causality is a powerful approach for detecting predictive interactions between its variables. However,…

cs.CV2019★ 34 cited

Explicitly disentangling image content from translation and rotation with spatial-VAE

Tristan Bepler, Ellen D. Zhong, Kotaro Kelley +2

Given an image dataset, we are often interested in finding data generative factors that encode semantic content independently from pose variables such as rotation and translation.…

q-bio.QM2019★ 27 cited

Reconstructing continuous distributions of 3D protein structure from cryo-EM images

Ellen D. Zhong, Tristan Bepler, Joseph H. Davis +1

Cryo-electron microscopy (cryo-EM) is a powerful technique for determining the structure of proteins and other macromolecular complexes at near-atomic resolution. In single particl…

cs.LG2019★ 219 cited

Learning protein sequence embeddings using information from structure

Tristan Bepler, Bonnie Berger

Inferring the structural properties of a protein from its amino acid sequence is a challenging yet important problem in biology. Structures are not known for the vast majority of p…

cs.DS2018★ 111 cited

Fast Characterization of Segmental Duplications in Genome Assemblies

Ibrahim Numanagić, Alim S. Gökkaya, Lillian Zhang +3

Segmental duplications (SDs), or low-copy repeats (LCR), are segments of DNA greater than 1 Kbp with high sequence identity that are copied to other regions of the genome. SDs are…

cs.LG2018★ 4 cited

Large-Margin Classification in Hyperbolic Space

Hyunghoon Cho, Benjamin DeMeo, Jian Peng +1

Representing data in hyperbolic space can effectively capture latent hierarchical relationships. With the goal of enabling accurate classification of points in hyperbolic space whi…