9 citations · 10 across the 2 of their papers we have counts for
3 papers
cs.LG2021★ 1 cited
Interpretable Drug Synergy Prediction with Graph Neural Networks for Human-AI Collaboration in Healthcare
Zehao Dong, Heming Zhang, Yixin Chen +1
We investigate molecular mechanisms of resistant or sensitive response of cancer drug combination therapies in an inductive and interpretable manner. Though deep learning algorithm…
q-bio.MN2020★ 9 cited
Repurposing drugs for COVID-19 based on transcriptional response of host cells to SARS-CoV-2
Fuhai Li, Andrew P. Michelson, Randi Foraker +2
The Coronavirus Disease 2019 (COVID-19) pandemic has infected over 10 million people globally with a relatively high mortality rate. There are many therapeutics undergoing clinical…
q-bio.GN2018
Synergistic Drug Combination Prediction by Integrating Multi-omics Data in Deep Learning Models
Tianyu Zhang, Liwei Zhang, Philip R. O. Payne +1
Drug resistance is still a major challenge in cancer therapy. Drug combination is expected to overcome drug resistance. However, the number of possible drug combinations is enormou…