Author

Michelle Meier

The University of MelbourneORCID 0009-0005-5595-3882Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Alicia OshlackiD· 1 shared Calandra V GrimaiD· 1 shared David YoannidisiD· 1 shared Eric LeviiD· 1 shared George HowittiD· 1 shared Gunjan DixitiD· 1 shared Hamish W. KingiD· 1 shared Jason LiiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Alicia OshlackORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 17, 2026

Order Matters: Ambient RNA correction confounds doublet detection in single-cell RNA sequencing

Michelle Meier, George Howitt, Calandra V Grima…·Alicia Oshlack

This study shows that ambient RNA correction can reduce doublet detection accuracy and recommends detecting doublets before correction, except when using CellBender.

DOI 10.64898/2026.10.13.758369

scRNA-seqstatistical model

𝕏 PostBluesky

BioinformaticsComputational and Structural Biotechnology JournalPeer-reviewedJan 1, 2025

macpie: scalable workflow for high-throughput transcriptomic profiling

Nenad Bartoniček, Xin Liu, Laura Twomey…·Susanne Ramm

macpie streamlines analysis of high-throughput transcriptomic profiling data from plate-based screens using R, integrating preprocessing, quality control, and multimodal data integration.

DOI 10.1016/j.csbj.2025.11.002

bulk RNA-seqstatistical model

𝕏 PostBluesky