Author

M.-S. Cabrillac

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Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. Oldfield· 1 shared C. Lorenzi· 1 shared J.-P. Villemin· 1 shared R. F. Luco· 1 shared W. J. Ritchie· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperCancer Biology

A. Oldfield

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1 paper

Recent·Most cited

A cell-to-patient machine learning transfer approach uncovers novel basal-like breast cancer prognostic markers amongst alternative splice variants

J.-P. Villemin, C. Lorenzi, A. Oldfield, M.-S. Cabrillac, W. J. Ritchie, R. F. Luco

This paper uses a machine learning approach to transfer knowledge from breast cancer cell lines to patient data, identifying a splicing signature that subclasses basal-like breast cancers and predicts poor prognosis.

bioRxiv · Nov 12, 2020Cancer Biology