Author

A. Oldfield

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Cancer Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

C. Lorenzi· 1 shared J.-P. Villemin· 1 shared M.-S. Cabrillac· 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

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperCancer Biology

C. Lorenzi

Mutual co-authors in cluster

Author profile →

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