Author

Alexandra Bomane

Centre National de la Recherche ScientifiqueORCID 0000-0003-4318-9758Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Alejandra BrunaiD· 1 shared Alvaro A. MartineziD· 1 shared Baptiste MouyssetiD· 1 shared Chen BuxbaumiD· 1 shared Eddy PasquieriD· 1 shared Emmanuel LabaronneiD· 1 shared Flavie Gaucher· 1 shared Florence M.G. CavalliiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Alejandra BrunaORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintJan 9, 2026

Reverse molecular pharmacology identifies the non-canonical axis of IRAK as a chemoresistance factor in neuroblastoma

Marion Le Grand, Chen Buxbaum, Mathilde Kerhervé…·Eddy Pasquier

This study identifies IRAK1 as a chemoresistance factor in neuroblastoma and shows synergy between IRAK1 inhibition and various drugs in preclinical models.

DOI 10.64898/2026.01.09.697473

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintDec 4, 2018

Machine learning models to predict in vivo drug response via optimal dimensionality reduction of tumour molecular profiles

Linh C. Nguyen, Stefan Naulaerts, Alexandra Bomane…·Pedro J. Ballester

The paper uses machine learning to predict drug response in tumour models by reducing molecular profile dimensionality, finding multi-gene predictors outperform single-gene markers in several cancer types.

7 citations

bulk RNA-seqmachine learning (classical)

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