Author

Thomas J. Bertus

Michigan State University

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· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:machine learning (classical)· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:deconvolution· 1

Frequent Co-Authors

Carlo PiermarocchiiD· 2 shared Sergii DomanskyiiD· 2 shared Aaron M. NewmaniD· 1 shared Aashi Jain· 1 shared Alberto ValdeolivasiD· 1 shared Alex Hakansson· 1 shared Alexander ScholziD· 1 shared Andrew E. LambiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersBioinformatics

Carlo PiermarocchiORCID

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Author profile →

2 papers

Recent·Most cited

Community assessment of methods to deconvolve cellular composition from bulk gene expression

Brian S. White, Aurélien de Reyniès, Aaron M. Newman, Joshua J. Waterfall, Andrew E. Lamb, Florent Petitprez, Yating Lin, Rongshan Yu, Martin E. Guerrero-Gimenez, Sergii Domanskyi, Gianni Monaco, Verena Chung, Jineta Banerjee, Daniel S. Derrick, Alberto Valdeolivas, , Andrew J. Gentles

The paper evaluates deconvolution methods for inferring immune infiltration from bulk gene expression using a DREAM Challenge, finding that some community-contributed methods, especially deep learning-based ones, perform well.

Nature Communications · Aug 27, 2024Peer-reviewedBioinformatics

Digital Cell Sorter (DCS): a cell type identification, anomaly detection, and Hopfield landscapes toolkit for single-cell transcriptomics

Sergii Domanskyi, Alex Hakansson, Thomas J. Bertus, Giovanni Paternostro, Carlo Piermarocchi

The paper introduces DCS, a toolkit for scRNA-seq analysis that includes cell type identification, anomaly detection, and visualization tools, demonstrating its effectiveness on PBMC and plasma cell datasets.

PeerJ · Jan 13, 2021Peer-reviewedBioinformatics