Author

Chris M. Pacheco

The University of MelbourneORCID 0000-0002-2980-3048Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:database / resource· 2 Organism:human· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1

Frequent Co-Authors

Christine Anne WellsiD· 2 shared Jarny ChoiiD· 2 shared Kim‐Anh Lê CaoiD· 2 shared Nadia RajabiD· 2 shared Paul W. AngeliD· 2 shared Yidi DengiD· 2 shared Andrew L. LaslettiD· 1 shared Jennifer L. GuiD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Christine Anne WellsORCID

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2 papers

Recent·Most cited

A simple, scalable approach to building a cross-platform transcriptome atlas

Paul W. Angel, Nadia Rajab, Yidi Deng, Chris M. Pacheco, Tyrone Chen, Kim‐Anh Lê Cao, Jarny Choi, Christine Anne Wells

The paper integrates hundreds of transcriptome datasets from multiple platforms to create a cross-platform blood cell atlas, enabling robust cell type clustering without batch correction.

PLoS Computational Biology · Sep 28, 2020Peer-reviewedBioinformatics

An integrated analysis of myeloid cells identifies gaps in in vitro models of in vivo biology

Nadia Rajab, Paul W. Angel, Yidi Deng, Jennifer L. Gu, Vanta J. Jameson, Mariola Kurowska‐Stolarska, Simon W. F. Milling, Chris M. Pacheco, Matt Rutar, Andrew L. Laslett, Kim‐Anh Lê Cao, Jarny Choi, Christine Anne Wells

The paper analyzes myeloid cells from various sources to identify gaps in in vitro models compared to in vivo biology.

bioRxiv · Jul 8, 2020 · PreprintSystems Biology