Author

Zhiyi Huang

University of OtagoORCID 0000-0001-8561-2556Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Organism:bacteria (other)· 2 Research Focus:gene regulatory network inference· 2 Assay:GWAS summary statistics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Alex GavryushkiniD· 2 shared Astra HeywoodiD· 2 shared Kieran ElmesiD· 2 shared

Activity by Year

2021-2022 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Alex GavryushkinORCID

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2 papers

Recent·Most cited

BioinformaticsPLoS Computational BiologyPeer-reviewedDec 29, 2022

A Fast Lasso-Based Method for Inferring Higher-Order Interactions

Kieran Elmes, Astra Heywood, Zhiyi Huang, Alex Gavryushkin

The paper introduces a fast Lasso-based method, Pint, for inferring three-way gene interactions in large-scale genetic data, outperforming existing methods in simulated and real datasets.

4 citations

bacteria (other)GWAS summary statistics

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BioinformaticsbioRxivPreprintJan 28, 2021

A Fast Lasso-based Method for Inferring Pairwise Interactions

Kieran Elmes, Astra Heywood, Zhiyi Huang, Alex Gavryushkin

The paper introduces a fast Lasso-based method for detecting epistatic interactions in large-scale genotype-phenotype screens, demonstrating its application on simulated and real data.

DOI 10.1101/2021.01.28.428698

humanbacteria (other)

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