William Ka Kei Wu

Orcid: 0000-0002-5662-5240

According to our database1, William Ka Kei Wu authored at least 10 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Author Correction: Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong.
npj Digit. Medicine, 2022

Deep learning identifies explainable reasoning paths of mechanism of action for drug repurposing from multilayer biological network.
Briefings Bioinform., 2022

2021
Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong.
npj Digit. Medicine, 2021

Erratum to: GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction.
J. Am. Medical Informatics Assoc., 2021

GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction.
J. Am. Medical Informatics Assoc., 2021

Bioinformatic analysis of SMN1-ACE/ACE2 interactions hinted at a potential protective effect of spinal muscular atrophy against COVID-19-induced lung injury.
Briefings Bioinform., 2021

Multi-omic analysis suggests tumor suppressor genes evolved specific promoter features to optimize cancer resistance.
Briefings Bioinform., 2021

Lysosome activation in peripheral blood mononuclear cells and prognostic significance of circulating LC3B in COVID-19.
Briefings Bioinform., 2021

Development of an Open-Access and Explainable Machine Learning Prediction System to Assess the Mortality and Recurrence Risk Factors of Clostridioides Difficile Infection Patients.
Adv. Intell. Syst., 2021

2017
A Zoom-Focus algorithm (ZFA) to locate the optimal testing region for rare variant association tests.
Bioinform., 2017


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