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Comparison of unsupervised machine-learning methods to iden..:

Bailleux, Caroline ; Pourcher, Thierry ; Gilhodes, Julia...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.csbj.2020.05.021. , 2019

Link: https://hal.science/hal-02972536

RT Journal
T1 <Title>Comparison of unsupervised machine-learning methods to identify metabolomic signatures in patients with localized breast cancer</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftanrparis:oai:HAL:hal-02972536v1&Exemplar=1&LAN=DE
				
A1 Bailleux, Caroline
A1 Pourcher, Thierry
A1 Gilhodes, Julia
A1 Jing, Lun
A1 Guigonis, Jean-Marie
A1 Ferrero, Jean-Marc
A1 Milano, Gerard
A1 Mograbi, Baharia
A1 Brest, Patrick
A1 Chateau, Yann
A1 Chamorey, Emmanuel
A1 Humbert, Olivier
A1 Bourg, Véronique
A1 Mondot, Lydiane
A1 Gal, Jocelyn
A1 Bondiau, Pierre-Yves
A1 Fontaine, Denys
A1 Barriere, Jérôme
A1 Saada-Bouzid, Esma
A1 Paquet, Marie
A1 Chardin, David
A1 Almairac, Fabien
A1 Vandenbos, Fanny
A1 Darcourt, Jacques
PB HAL CCSD; Elsevier
YR 2019
K1 [SDV]Life Sciences [q-bio]
K1 [STAT]Statistics [stat]
JF info:eu-repo/semantics/altIdentifier/doi/10.1016/j.csbj.2020.05.021
LK http://dx.doi.org/https://hal.science/hal-02972536
DO https://hal.science/hal-02972536
SF ELIB - SuUB Bremen

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