Author

Herbert Yao

Queen's University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Laurence YangiD· 2 shared Alexandra I. Herghelegiu· 1 shared Haiping LuiD· 1 shared Hao XuiD· 1 shared James T. YurkovichiD· 1 shared Sanjeev DahaliD· 1 shared Shengqi SangiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 16 mutual co-author links

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2 shared papersSystems Biology

Laurence YangORCID

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Author profile →

2 papers

Recent·Most cited

Novel Context-Specific Genome-Scale Modelling Explores the Potential of Chlamydomonas reinhardtii for Synthetic Biology Applications

Herbert Yao, Sanjeev Dahal, Laurence Yang

The paper develops a pipeline to predict cellular metabolism from gene expression data using genome-scale models, applied to study TAG overproduction in Chlamydomonas reinhardtii.

bioRxiv · Oct 7, 2022 · PreprintSystems Biology

APRILE: Exploring the Molecular Mechanisms of Drug Side Effects with Explainable Graph Neural Networks

Hao Xu, Shengqi Sang, Herbert Yao, Alexandra I. Herghelegiu, Haiping Lu, James T. Yurkovich, Laurence Yang

APRILE uses explainable graph neural networks to identify molecular mechanisms of polypharmacy side effects, generating explanations for over 900,000 side effect-drug pairs.

bioRxiv · Jul 2, 2021 · PreprintBioinformatics