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Deep learning generates custom-made logistic regression mod..:

Takuma Shibahara (5437208) ; Chisa Wada (10825570) ; Yasuho Yamashita (10825573)...
https://figshare.com/articles/dataset/Deep_learning_generates_custom-made_logistic_regression_models_for_explaining_how_breast_cancer_subtypes_are_classified/14619368. , 2021

Link: https://doi.org/10.5281/zenodo.4750734

RT Journal
T1 <Title>Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_14619368&Exemplar=1&LAN=DE
				
A1 Takuma Shibahara (5437208)
A1 Chisa Wada (10825570)
A1 Yasuho Yamashita (10825573)
A1 Kazuhiro Fujita (740922)
A1 Masamichi Sato (455506)
A1 Atsushi Okamoto (198481)
A1 Yoshimasa Ono (10825576)
YR 2021
K1 Cell Biology
K1 Genetics
K1 Cancer
K1 Science Policy
K1 Biological Sciences not elsewhere classified
K1 point-wise
K1 breast cancer subtypes
K1 PAM 50-classified subtypes
K1 regression models
K1 cell cycle-related pathways
K1 regression model
K1 gene
JF https://figshare.com/articles/dataset/Deep_learning_generates_custom-made_logistic_regression_models_for_explaining_how_breast_cancer_subtypes_are_classified/14619368
LK http://dx.doi.org/https://doi.org/10.5281/zenodo.4750734
DO https://doi.org/10.5281/zenodo.4750734
SF ELIB - SuUB Bremen

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