Author

J. Mark Fitzgerald

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

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Bruce M. McManusiD· 1 shared Casey P. ShannoniD· 1 shared Don D. Sin· 1 shared Mustafa Toma· 1 shared Raymond T. NgiD· 1 shared Robert Balshaw· 1 shared Scott J. TebbuttiD· 1 shared Virginia CheniD· 1 shared

Activity by Year

2016-2016 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Bruce M. McManusORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

A novel approach to identifying marker genes and estimating the cellular composition of whole blood from gene expression profiles

Casey P. Shannon, Robert Balshaw, Virginia Chen, Zsuzsanna Hollander, Mustafa Toma, Bruce M. McManus, J. Mark Fitzgerald, Don D. Sin, Raymond T. Ng, Scott J. Tebbutt

This paper introduces a multi-response Gaussian model to predict peripheral whole blood composition from Affymetrix Gene ST expression profiles, outperforming existing methods on this platform.

bioRxiv · Feb 3, 2016Bioinformatics