Author

Blaise Ratcliffe

University of British ColumbiaORCID 0000-0003-4469-2929Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:variant effect prediction· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1 Research Focus:genome assembly· 1 Approach:graph neural network· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Charles CheniD· 2 shared Yousry Aly El-KassabyiD· 2 shared Balabhaskar BalasundaramiD· 1 shared Bret S. PaschiD· 1 shared Eduardo P. CappaiD· 1 shared Francis Thistlethwaite· 1 shared Ilga Mercedes PorthiD· 1 shared Jaroslav KlápštěiD· 1 shared

Activity by Year

2019-2019 · peak 2/yr

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10 top collaborators · 33 mutual co-author links

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2 shared papersGenetics

Charles ChenORCID

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2 papers

Recent·Most cited

GeneticsbioRxivPreprintFeb 7, 2019

Inter- and Intra-Generation Genomic Predictions for Douglas-fir Growth in Unobserved Environments

Blaise Ratcliffe, Francis Thistlethwaite, Omnia Gamal El‐Dien…·Yousry Aly El-Kassaby

The paper improves genomic prediction accuracy for Douglas-fir growth in unobserved environments by incorporating environmental covariates and genotype-by-environment interactions in a reaction-norm model using ssGBLUP.

6 citations

whole-exome sequencingstatistical model

𝕏 PostBluesky

GeneticsPLoS ONEPeer-reviewedJan 24, 2019

SNP Variable Selection by Generalized Graph Domination

Shuzhen Sun, Zhuqi Miao, Blaise Ratcliffe…·Charles Chen

This paper introduces a SNP variable selection method using k-dominating set graph theory and demonstrates its effectiveness in pedigree reconstruction and species delineation.

4 citations

GWAS summary statisticsgraph neural network

𝕏 PostBluesky