Author

Helena Johansson

Australian Catholic UniversityPrimary ORCID profile (0000-0002-7720-9297 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Helena JohanssoniD1 paper · University of Helsinki

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Audrey DurandiD· 1 shared Celia M.T. GreenwoodiD· 1 shared Cyrus C. CooperiD· 1 shared David M. EvansiD· 1 shared Douglas P. KieliD· 1 shared Eugene Vincent McCloskeyiD· 1 shared Fernando RivadeneiraiD· 1 shared Joëlle PineauiD· 1 shared

Activity by Year

2018-2018 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Audrey DurandORCID

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Author profile →

1 paper

Recent·Most cited

Machine Learning to Predict Osteoporotic Fracture Risk from Genotypes

Vincenzo Forgetta, Julyan Keller‐Baruch, Marie Forest, Audrey Durand, Sahir Bhatnagar, John P. Kemp, John A. Morris, John А. Kanis, Douglas P. Kiel, Eugene Vincent McCloskey, Fernando Rivadeneira, Helena Johansson, Nicholas C. Harvey, Cyrus C. Cooper, David M. Evans, , John Brent Richards

This paper uses machine learning to predict osteoporotic fracture risk from genotypes, finding that genomic predictions outperform clinical risk factors in identifying fracture risk.

bioRxiv · Sep 12, 2018 · PreprintGenomics