Author

Thomas Peeters

Brigham and Women's Hospital

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· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Organism:rat· 1

Frequent Co-Authors

Andrew H. SongiD· 1 shared Anurag Jayant VaidyaiD· 1 shared Drew F. K. WilliamsoniD· 1 shared Faisal MahmoodiD· 1 shared Georg Kurt GerberiD· 1 shared Guillaume JaumeiD· 1 shared Jean‐Philippe ThiraniD· 1 shared Long P. LeiD· 1 shared

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2024-2024 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Andrew H. SongORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJul 19, 2024

AI-driven Discovery of Morphomolecular Signatures in Toxicology

Guillaume Jaume, Thomas Peeters, Andrew H. Song…·Faisal Mahmood

This paper introduces GEESE, an AI model that imputes morphomolecular signatures in toxicology data, linking gene expression changes to drug-induced liver injuries.

4 citations

ratbulk RNA-seq

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