no code implementations • NeurIPS 2018 • Rui Li, Kishan Kc, Feng Cui, Justin Domke, Anne Haake
This paper studies statistical relationships among components of high-dimensional observations varying across non-random covariates.
1 code implementation • 16 Oct 2020 • Kishan Kc, Rui Li, Feng Cui, Anne Haake
Recently, graph neural networks have been proposed to effectively learn representations for biomedical entities and achieved state-of-the-art results in biomedical interaction prediction.
Ranked #1 on Link Prediction on Drug-target interactions
1 code implementation • 16 Oct 2020 • Kishan Kc, Feng Cui, Anne Haake, Rui Li
Although various deep learning models in Siamese architecture have been proposed to model PPIs from sequences, these methods are computationally expensive for a large number of PPIs due to the pairwise encoding process.
1 code implementation • BMC Systems Biology 2019 • Kishan KC, Rui Li, Feng Cui, Qi Yu, Anne R. Haake
However, it is still a challenging task to aggregate heterogeneous biological information such as gene expression and gene interactions to achieve more accurate inference for prediction and discovery of new gene interactions.
Ranked #1 on Gene Interaction Prediction on BioGRID(yeast) (using extra training data)