Author

Florian Rohart

The University of QueenslandORCID 0000-0002-9588-8000Unclaimed ORCID profile · follow to get notified of new preprints

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Florian Rohart2 papers

Biology Disciplines

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Bioinformatics· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Amrit SinghiD· 2 shared Kim‐Anh Lê CaoiD· 2 shared Benoît Gautier· 1 shared Casey P. ShannoniD· 1 shared Gautier, Benoit· 1 shared Jian YangiD· 1 shared Julia SidorenkoiD· 1 shared Loïc YengoiD· 1 shared

Activity by Year

2017-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersBioinformatics

Amrit SinghORCID

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3 papers

Recent·Most cited

Estimation of non-additive genetic variance in human complex traits from a large sample of unrelated individuals

Valentin Hivert, Julia Sidorenko, Florian Rohart, Michael Edward Goddard, Jian Yang, Naomi R. Wray, Loïc Yengo, Peter M. Visscher

This study estimates non-additive genetic variance in human complex traits using a large sample of unrelated individuals and finds that additive variance is predominant while dominance and epistatic variances are negligible.

The American Journal of Human Genetics · Apr 2, 2021Peer-reviewedGenetics

DIABLO: from multi-omics assays to biomarker discovery, an integrative approach

Amrit Singh, Gautier, Benoit, Casey P. Shannon, Michael A. Vacher, Florian Rohart, Scott J Tebutt, Kim‐Anh Lê Cao

DIABLO identifies multi-omics biomarker panels to distinguish phenotypic groups, showing better biological enrichment than other methods in simulated and real datasets.

bioRxiv · Mar 20, 2018 · PreprintBioinformatics

mixOmics: an R package for ‘omics feature selection and multiple data integration

Florian Rohart, Benoît Gautier, Amrit Singh, Kim‐Anh Lê Cao

The paper introduces mixOmics, an R package for multivariate analysis of omics data, focusing on integration and visualization of heterogeneous datasets.

PLoS Computational Biology · Nov 3, 2017Peer-reviewedBioinformatics