Author

Martin E. Guerrero-Gimenez

Universidad Nacional de CuyoORCID 0000-0002-5306-5065Unclaimed 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· 1 Assay:bulk RNA-seq· 1 Research Focus:deconvolution· 1 Approach:deep learning· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Aaron M. NewmaniD· 1 shared Aashi Jain· 1 shared Alberto ValdeolivasiD· 1 shared Alexander ScholziD· 1 shared Andrew E. LambiD· 1 shared Andrew J. GentlesiD· 1 shared Aurélien de ReynièsiD· 1 shared Austin MeadowsiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Aaron M. NewmanORCID

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Author profile →

1 paper

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