Author

Gavin J. Sutton

UNSW SydneyORCID 0000-0001-5266-8772Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:deconvolution· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Irina VoineaguiD· 2 shared Daniel PoppeiD· 1 shared Fatemeh VafaeeiD· 1 shared Forrest C. KochiD· 1 shared Johann A. Gagnon-BartschiD· 1 shared Kieran Walsh· 1 shared Rebecca K. SimmonsiD· 1 shared Ryan ListeriD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 24 mutual co-author links

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2 shared papersGenetics

Irina VoineaguORCID

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2 papers

Recent·Most cited

GeneticsNature CommunicationsPeer-reviewedMar 15, 2022

Comprehensive evaluation of human brain gene expression deconvolution methods

Gavin J. Sutton, Daniel Poppe, Rebecca K. Simmons…·Irina Voineagu

This study evaluates deconvolution methods for human brain transcriptome data, finding that cell-type signatures impact accuracy more than methods, and partial methods outperform complete ones.

122 citationstop 1%

humanbulk RNA-seq

BioinformaticsBriefings in BioinformaticsPeer-reviewedJul 19, 2021

Supervised Application of Internal Validation Measures to Benchmark Dimensionality Reduction Methods in scRNA-seq Data

Forrest C. Koch, Gavin J. Sutton, Irina Voineagu, Fatemeh Vafaee

This study benchmarks dimensionality reduction methods in scRNA-seq data using internal validation measures and DBSCAN, identifying LDA and PHATE as high-performing algorithms.

19 citations

scRNA-seqstatistical model