Author

Pierluigi Di Chiaro

European Institute of OncologyORCID 0000-0002-9179-1922Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Approach:large language model· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Chakit AroraiD· 2 shared Francesco CarliiD· 2 shared Francesco RaimondiiD· 2 shared Gioacchino NatoliiD· 2 shared Giuseppe Riccardo DiaferiaiD· 2 shared Luisa BiscegliaiD· 2 shared Natalia De Oliveira RosaiD· 2 shared Alice CortesiiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Chakit AroraORCID

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2 papers

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedFeb 14, 2025

Learning and actioning general principles of cancer cell drug sensitivity

Francesco Carli, Pierluigi Di Chiaro, Mariangela Morelli…·Francesco Raimondi

The paper develops interpretable models to predict cancer drug sensitivity using transcriptomics data and enhances predictions with large language models, validated on clinical samples.

38 citationstop 1%

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsCell GenomicsPeer-reviewedMay 1, 2024

The landscape of cancer rewired GPCR signaling axes

Chakit Arora, Marin Matic, Luisa Bisceglia…·Francesco Raimondi

The paper analyzes GPCR signaling dysregulation in cancer transcriptomics data to identify therapeutic targets and survival-associated signaling axes.

35 citationstop 3%

humanbulk RNA-seq

𝕏 PostBluesky