Skip to Main content Skip to Navigation
Journal articles

Predicting breast cancer metastasis from whole-blood transcriptomic measurements

Einar Holsbø 1 Vittorio Perduca 2 Lars Ailo Ailo Bongo 3 Eiliv Lund 1 Etienne Birmele 4 
1 UiT - University of Tromsø
2 MAP5 - UMR 8145 - Mathématiques Appliquées Paris 5
3 UiT - The Arctic University of Norway
4 MAP5 - UMR 8145 - Mathématiques Appliquées Paris 5
Document type :
Journal articles
Complete list of metadata
https://hal-univ-paris.archives-ouvertes.fr/hal-02872374
Contributor : Vittorio Perduca Connect in order to contact the contributor
Submitted on : Wednesday, June 17, 2020 - 5:45:25 PM
Last modification on : Friday, August 5, 2022 - 11:55:49 AM

Links full text

pubmedcentral

Identifiers

Collections

CNRS | MAP5 | UNIV-PARIS | UP-SCIENCES

Citation

Einar Holsbø, Vittorio Perduca, Lars Ailo Ailo Bongo, Eiliv Lund, Etienne Birmele. Predicting breast cancer metastasis from whole-blood transcriptomic measurements. BMC Research Notes, BioMed Central, 2020, 13 (1), ⟨10.1186/s13104-020-05088-0⟩. ⟨hal-02872374⟩

Export

BibTeX TEI DC DCterms EndNote Datacite

Share

Metrics

Record views

19