1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2022
Contrastive learning-based computational histopathology predict differential expression of cancer driver genes
Haojie Huang, Gongming Zhou, Xuejun Liu +4
Digital pathological analysis is run as the main examination used for cancer diagnosis. Recently, deep learning-driven feature extraction from pathology images is able to detect ge…
q-bio.QM2021★ 1 cited
Graph2MDA: a multi-modal variational graph embedding model for predicting microbe-drug associations
Lei Deng, Yibiao Huang, Xuejun Liu +1
Accumulated clinical studies show that microbes living in humans interact closely with human hosts, and get involved in modulating drug efficacy and drug toxicity. Microbes have be…
cs.LG2021
DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations
J. Wang, X. Liu, S. Shen +2
Drug combination therapy has become a increasingly promising method in the treatment of cancer. However, the number of possible drug combinations is so huge that it is hard to scre…