690 citations · 695 across the 3 of their papers we have counts for
3 papers
Learning Generative Models of Tissue Organization with Supervised GANs
Ligong Han, Robert F. Murphy, Deva Ramanan
A key step in understanding the spatial organization of cells and tissues is the ability to construct generative models that accurately reflect that organization. In this paper, we…
Mapping the Human Body at Cellular Resolution -- The NIH Common Fund Human BioMolecular Atlas Program
Michael P Snyder, Shin Lin, Amanda Posgai +22
Transformative technologies are enabling the construction of three dimensional (3D) maps of tissues with unprecedented spatial and molecular resolution. Over the next seven years,…
Deciding when to stop: Efficient stopping of active learning guided drug-target prediction
Maja Temerinac-Ott, Armaghan W. Naik, Robert F. Murphy
Active learning has shown to reduce the number of experiments needed to obtain high-confidence drug-target predictions. However, in order to actually save experiments using active…