Author

Kim-Anh Le Cao

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Assay:metagenomics· 1

Frequent Co-Authors

Aida Eslami· 1 shared Bevan Emma Huang· 1 shared Florian Rohart· 1 shared Francois Bartolo· 1 shared Jasmin Straube· 1 shared Mary-Ellen Costello· 1 shared Nicholas MatigianiD· 1 shared Pascale Rondeau· 1 shared

Activity by Year

2016-2017 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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1 shared paperBioinformatics

Aida Eslami

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3 papers

Recent·Most cited

BioinformaticsScientific ReportsPeer-reviewedJan 9, 2017

DynOmics to identify delays and co-expression patterns across time course experiments

Jasmin Straube, Bevan Emma Huang, Kim-Anh Le Cao

DynOmics identifies delays and co-expression patterns across time course experiments by realigning trajectories using fast Fourier transform, showing efficiency and accuracy in simulations and case studies.

DOI 10.1038/srep40131

bulk RNA-seqstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivSep 20, 2016

MINT: A multivariate integrative method to identify reproducible molecular signatures across independent experiments and platforms

Florian Rohart, Aida Eslami, Nicholas Matigian…·Kim-Anh Le Cao

MINT identifies reproducible molecular signatures across experiments by integrating data and accounting for systematic variation in a single step, improving classification accuracy.

DOI 10.1186/s12859-017-1553-8

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivMar 16, 2016

mixMC: a multivariate statistical framework to gain insight into Microbial Communities

Kim-Anh Le Cao, Mary-Ellen Costello, Vanessa Anne Lakis…·Pascale Rondeau

mixMC identifies microbial biomarkers by analyzing 16S rRNA data with multivariate methods, improving characterization of microbial communities across body sites.

DOI 10.1371/journal.pone.0160169

humanmetagenomics

𝕏 PostBluesky