Source: EISSN: 2296-2646 ; Frontiers in Chemistry ; https://hal.science/hal-03359408 ; Frontiers in Chemistry, In press, 7 (11), pp.4637-4648. ⟨10.3389/fchem.2019.00192⟩

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Academic Journal

Application of three approaches for quantitative AOP development to renal toxicity

Authors : Zgheib, Elias; Gao, Wang; Limonciel, Alice ...

Subjects: [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]

Source: Computational Toxicology ; https://hal.science/hal-02987394 ; Computational Toxicology, 2019, 11, pp.1-13. ⟨10.1016/j.comtox.2019.02.001⟩

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Academic Journal

A community effort to assess and improve drug sensitivity prediction algorithms

Authors : Costello, James C; Heiser, Laura M; Georgii, Elisabeth ...

Subjects: [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]

Source: ISSN: 1087-0156 ; Nature Biotechnology ; https://minesparis-psl.hal.science/hal-01101874 ; Nature Biotechnology, 2014, 32, pp.1202-1212. ⟨10.1038/nbt.2877⟩.

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Conference

Model selection via penalization in the additive Cox model

Authors : Avalos, Marta; Grandvalet, Yves; Ambroise, Christophe ...

Subjects: penalization; variable selection; complexity tuningLimassol; Cyprus

Source: The 3rd world conference on Computational Statistics & Data Analysis Audience ; The 3rd world conference on Computational Statistics & Data Analysis ; https://inserm.hal.science/inserm-00149852 ; The

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Pénalisation l1 pour les MAG

Authors : Avalos, Marta; Grandvalet, Yves; Ambroise, Christophe ...

Subjects: modèles additifs généralisés; sélection de variables; réglage de la complexité

Source: 37èmes Journées de Statistiquehttps://inserm.hal.science/inserm-001498562005, pp.25.1

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Penalized additive logistic regression for cardiovascular risk prediction

Authors : Avalos, Marta; Grandvalet, Yves; Ambroise, Christophe ...

Subjects: Model selection; function estimation; hypertension

Source: Statistics in Health Sciences ; https://inserm.hal.science/inserm-00149854 ; 2004, pp.301

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Conference

Généralisation du lasso aux modèles additifs

Authors : Avalos, Marta; Grandvalet, Yves; Ambroise, Christophe ...

Subjects: régression non paramétrique; sélection de variables; sélection de modèle

Source: 36èmes Journées de Statistiquehttps://inserm.hal.science/inserm-001498582004, pp.83

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Conference

Regularization methods for additive models

Authors : Avalos, Marta; Grandvalet, Yves; Ambroise, Christophe ...

Subjects: lasso; variable selection; [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]

Source: Intelligent Data Analysis ; https://inserm.hal.science/inserm-00149855 ; 2003, pp.509-520

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فلترة النتائج

AptaMat: a matrix-based algorithm to compare single-stranded oligonucleotides secondary structures

Metabolomic profiling during the differentiation of human induced pluripotent stem cells into hepatocyte-like cells

Fluoro-Aryl Substituted α,β2,3-Peptides in the Development of Foldameric Antiparallel β-Sheets: A Conformational Study

Application of three approaches for quantitative AOP development to renal toxicity

A community effort to assess and improve drug sensitivity prediction algorithms

Model selection via penalization in the additive Cox model

Pénalisation l1 pour les MAG

Penalized additive logistic regression for cardiovascular risk prediction

Généralisation du lasso aux modèles additifs

Regularization methods for additive models

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