Author

Eric Francis Morand

Monash UniversityORCID 0000-0002-9507-3338Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alberta Yik-Bun HoiiD· 1 shared Eugene MaraskovskyiD· 1 shared Fabienne MackayiD· 1 shared Katherine MonaghaniD· 1 shared Milica Ng· 1 shared Monther AlhamdooshiD· 1 shared Nicholas J. WilsoniD· 1 shared William A. FiggettiD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Alberta Yik-Bun HoiORCID

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1 paper

Recent·Most cited

Machine learning applied to whole-blood RNA-sequencing data uncovers distinct subsets of patients with systemic lupus erythematosus

William A. Figgett, Katherine Monaghan, Milica Ng, Monther Alhamdoosh, Eugene Maraskovsky, Nicholas J. Wilson, Alberta Yik-Bun Hoi, Eric Francis Morand, Fabienne Mackay

This paper uses machine learning on whole-blood RNA-seq data to stratify SLE patients into clusters, revealing gene expression patterns linked to disease activity and clinical outcomes.

Clinical & Translational Immunology · Jan 1, 2019Peer-reviewedBioinformatics