62 citations · 119 across the 4 of their papers we have counts for
4 papers
Is your data alignable? Principled and interpretable alignability testing and integration of single-cell data
Rong Ma, Eric D. Sun, David Donoho +1
Single-cell data integration can provide a comprehensive molecular view of cells, and many algorithms have been developed to remove unwanted technical or biological variations and…
Protein structure generation via folding diffusion
Kevin E. Wu, Kevin K. Yang, Rianne van den Berg +3
The ability to computationally generate novel yet physically foldable protein structures could lead to new biological discoveries and new treatments targeting yet incurable disease…
Group-Structured Adversarial Training
Farzan Farnia, Amirali Aghazadeh, James Zou +1
Robust training methods against perturbations to the input data have received great attention in the machine learning literature. A standard approach in this direction is adversari…
Feedback GAN (FBGAN) for DNA: a Novel Feedback-Loop Architecture for Optimizing Protein Functions
Anvita Gupta, James Zou
Generative Adversarial Networks (GANs) represent an attractive and novel approach to generate realistic data, such as genes, proteins, or drugs, in synthetic biology. Here, we appl…