Predicting breast cancer metastasis from whole-blood transcriptomic measurements

Einar Holsbø; Vittorio Perduca; Lars Ailo Ailo Bongo; Eiliv Lund; Etienne Birmele

doi:10.1186/s13104-020-05088-0

Journal Articles BMC Research Notes Year : 2020

Predicting breast cancer metastasis from whole-blood transcriptomic measurements

(1) , (2) , (3) , (1) , (4)

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Einar Holsbø

Function : Author

University of Tromsø

Vittorio Perduca

Function : Author
PersonId : 11396
IdHAL : vittorio-perduca
ORCID : 0000-0003-0339-0473

Mathématiques Appliquées Paris 5

Lars Ailo Ailo Bongo

Function : Author

The Arctic University of Norway [Tromsø, Norway]

Eiliv Lund

Function : Author

University of Tromsø

Etienne Birmele

Function : Author
PersonId : 15712
IdHAL : ebirmele
IdRef : 082335605

Mathématiques Appliquées Paris 5

CV

Domains

Statistics [stat] Applications [stat.AP] Life Sciences [q-bio] Santé publique et épidémiologie

Vittorio Perduca : Connect in order to contact the contributor

https://hal-univ-paris.archives-ouvertes.fr/hal-02872374

Submitted on : Wednesday, June 17, 2020-5:45:25 PM

Last modification on : Thursday, January 12, 2023-3:28:05 PM

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hal-02872374 , version 1 (17-06-2020)

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HAL Id : hal-02872374 , version 1
DOI : 10.1186/s13104-020-05088-0
PUBMEDCENTRAL : PMC7238609

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

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Predicting breast cancer metastasis from whole-blood transcriptomic measurements

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