Advances in robotic automation, high-performance computing (HPC), and
ar...
Causal discovery of genome-scale networks is important for identifying
p...
We outline emerging opportunities and challenges to enhance the utility ...
We propose a benchmark to study surrogate model accuracy for protein-lig...
The field of neuromorphic computing is in a period of active exploration...
Molecules have seemed like a natural fit to deep learning's tendency to
...
The race to meet the challenges of the global pandemic has served as a
r...
Motivated by the size of cell line drug sensitivity data, researchers ha...
COVID-19 has claimed more 1 million lives and resulted in over 40 millio...
The drug discovery process currently employed in the pharmaceutical indu...
We present a new method for understanding the performance of a model in
...
Researchers across the globe are seeking to rapidly repurpose existing d...
We explore three representative lines of research and demonstrate the ut...
By combining various cancer cell line (CCL) drug screening panels, the s...
Cancer is a complex disease, the understanding and treatment of which ar...
In the past several years, we have taken advantage of a number of
opport...
Biological datasets amenable to applied machine learning are more availa...