89 citations · 112 across the 6 of their papers we have counts for
6 papers
Biologically Informed Deep Neural Networks for Multi-Omic Integration, Pathway Activity Inference and Risk Stratification in Cancer
Pedro Henrique da Costa Avelar, Le Ou-Yang, Min Wu +1
Integrating complex, multi-omics data presents significant challenges. Existing approaches often face a trade-off between model interpretability and representational capacity, with…
SeekRBP: Leveraging Sequence-Structure Integration with Reinforcement Learning for Receptor-Binding Protein Identification
Xiling Luo, Le Ou-Yang, Yang Shen +6
Motivation: Receptor-binding proteins (RBPs) initiate viral infection and determine host specificity, serving as key targets for phage engineering and therapy. However, the identif…
MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction
Jiahan Liu, Chaochao Yan, Yang Yu +4
Retrosynthesis is a major task for drug discovery. It is formulated as a graph-generating problem by many existing approaches. Specifically, these methods firstly identify the reac…
Recent Advances in Network-based Methods for Disease Gene Prediction
Sezin Kircali Ata, Min Wu, Yuan Fang +3
Disease-gene association through Genome-wide association study (GWAS) is an arduous task for researchers. Investigating single nucleotide polymorphisms (SNPs) that correlate with s…
Semantic Hierarchy Preserving Deep Hashing for Large-scale Image Retrieval
Ming Zhang, Xuefei Zhe, Le Ou-Yang +2
Deep hashing models have been proposed as an efficient method for large-scale similarity search. However, most existing deep hashing methods only utilize fine-level labels for trai…
Microbial community pattern detection in human body habitats via ensemble clustering framework
Peng Yang, Xiaoquan Su, Le Ou-Yang +3
The human habitat is a host where microbial species evolve, function, and continue to evolve. Elucidating how microbial communities respond to human habitats is a fundamental and c…