Výsledky vyhledávání - "MESH : Biometry"

Clinical, biometric and structural evaluation of the long-term effects of a topical treatment with ascorbic acid and madecassoside in photoaged human skin

Autor: Pierre Creidi, Marek Haftek, Sophie Mac-Mary, Philippe Humbert, Marie-Aude Le Bitoux, Sophie Seité, André Rougier

Publikováno v: Experimental Dermatology
Experimental Dermatology, Wiley, 2008, 17 (11), pp.946-52. ⟨10.1111/j.1600-0625.2008.00732.x⟩

International audience; Skin ageing is a complex process determined by the genetic endowment of individual and environmental factors, such as sun exposure. The effects of skin ageing are mostly encountered in the superficial dermis and in the epiderm

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff875ba27f295bc0ebb22f434afa3d0a
https://doi.org/10.1111/j.1600-0625.2008.00732.x

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Data integration and exploration for the identification of molecular mechanisms in tumor-immune cells interaction

Autor: Anne Berger, Franck Pagès, Jérôme Galon, Gabriela Bindea, Bernhard Mlecnik, Fátima Sánchez-Cabo, Pornpimol Charoentong, Zlatko Trajanoski

Publikováno v: BMC Genomics
BMC Genomics, 2010, 11 Suppl 1 (Suppl 1), pp.S7. ⟨10.1186/1471-2164-11-S1-S7⟩
BMC Genomics, BioMed Central, 2010, 11 Suppl 1 (Suppl 1), pp.S7. ⟨10.1186/1471-2164-11-S1-S7⟩
BMC Genomics, Vol 11, Iss Suppl 1, p S7 (2010)
BMC Genomics, BioMed Central, 2010, 11 Suppl 1 (Suppl 1), pp.S7. 〈10.1186/1471-2164-11-S1-S7〉
Repisalud
Instituto de Salud Carlos III (ISCIII)

Cancer progression is a complex process involving host-tumor interactions by multiple molecular and cellular factors of the tumor microenvironment. Tumor cells that challenge immune activity may be vulnerable to immune destruction. To address this qu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5dc52d8498a457dca6143678c277741
https://hdl.handle.net/20.500.12105/8379

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Extension of the SAEM algorithm for nonlinear mixed models with 2 levels of random effects

Autor: Xavière Panhard, Adeline Samson

Publikováno v: Biostatistics
Biostatistics, 2009, 10 (1), pp.121-35. ⟨10.1093/biostatistics/kxn020⟩
Biostatistics, Oxford University Press (OUP), 2009, 10 (1), pp.121-35. 〈10.1093/biostatistics/kxn020〉
Biostatistics, Oxford University Press (OUP), 2009, 10 (1), pp.121-35. ⟨10.1093/biostatistics/kxn020⟩

International audience; This article focuses on parameter estimation of multilevel nonlinear mixed-effects models (MNLMEMs). These models are used to analyze data presenting multiple hierarchical levels of grouping (cluster data, clinical trials with

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa9be0c749038a51c084b80c9d54f716
https://doi.org/10.1093/biostatistics/kxn020

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Noonan syndrome-causing SHP2 mutants inhibit insulin-like growth factor 1 release via growth hormone-induced ERK hyperactivation, which contributes to short stature

Autor: Mylène Tajan, Marianne Mus, Thomas Edouard, Karine Tréguer, Jean-Pierre Salles, Alexandra Montagner, Armelle Yart, Patrick Raynal, Toshiyuki Araki, M. Tauber, Philippe Valet, Audrey De Rocca Serra-Nédélec, Marie Dance, Benjamin G. Neel

Publikováno v: Proceedings of the National Academy of Sciences of the United States of America 11 (109), 4257-4262. (2012)
Proceedings of the National Academy of Sciences of the United States of America
Proceedings of the National Academy of Sciences of the United States of America, National Academy of Sciences, 2012, 109 (11), pp.4257-62. ⟨10.1073/pnas.1119803109⟩
Proceedings of the National Academy of Sciences of the United States of America, National Academy of Sciences, 2012, 109 (11), pp.4257-4262. ⟨10.1073/pnas.1119803109⟩
Proceedings of the National Academy of Sciences of the United States of America, 2012, 109 (11), pp.4257-4262. ⟨10.1073/pnas.1119803109⟩

Noonan syndrome (NS), a genetic disease caused in half of cases by activating mutations of the tyrosine phosphatase SHP2 ( PTPN11 ), is characterized by congenital cardiopathies, facial dysmorphic features, and short stature. How mutated SHP2 induces

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b331c42273a01c5f8af7d797ede56951
http://prodinra.inra.fr/record/387290

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Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approach

Autor: Cécile Proust-Lima, Jeremy M. G. Taylor

Publikováno v: Biostatistics
Biostatistics, Oxford University Press (OUP), 2009, 10 (3), pp.535-49. ⟨10.1093/biostatistics/kxp009⟩

International audience; Prostate-specific antigen (PSA) is a biomarker routinely and repeatedly measured on prostate cancer patients treated by radiation therapy (RT). It was shown recently that its whole pattern over time rather than just its curren

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1df42200924886360d1bb32bc3bedf62
https://www.hal.inserm.fr/inserm-00367752/file/L08-037_manuscript.pdf

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Performance in population models for count data, part II: a new SAEM algorithm

Autor: Marc Lavielle, Radojka M. Savic

Publikováno v: Journal of Pharmacokinetics and Pharmacodynamics
Journal of Pharmacokinetics and Pharmacodynamics, Springer Verlag, 2009, 36 (4), pp.367-79. ⟨10.1007/s10928-009-9127-7⟩
Journal of Pharmacokinetics and Pharmacodynamics, 2009, 36 (4), pp.367-79. ⟨10.1007/s10928-009-9127-7⟩

International audience; Analysis of count data from clinical trials using mixed effect analysis has recently become widely used. However, algorithms available for the parameter estimation, including LAPLACE and Gaussian quadrature (GQ), are associate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60fc4223399fd73d78333eb1aceedb29
https://pubmed.ncbi.nlm.nih.gov/19680795

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CHARACTERIZATION OF UNKNOWN ADULT STEM CELL SAMPLES BY LARGE SCALE DATA INTEGRATION AND ARTIFICIAL NEURAL NETWORKS

Autor: Christian J. Stoeckert, Ghislain Bidaut

Publikováno v: Pacific Symposium on Biocomputing
Pacific Symposium on Biocomputing, World Scientific, 2009, pp.356-67
Europe PubMed Central
Pacific Symposium on Biocomputing, 2009, pp.356-67

International audience; Stem cells represent not only a potential source of treatment for degenerative diseases but can also shed light on developmental biology and cancer. It is believed that stem cells differentiation and fate is triggered by a com

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a376e0ea41e4d967608cffa4087f67c2
https://doi.org/10.1142/9789812836939_0034

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Cutaneous differences between Black, African or Caribbean Mixed-race and Caucasian women: biometrological approach of the hydrolipidic film

Autor: Sophie Mac, Philippe Humbert, J M Sainthillier, Corinne Fotoh, Ahmed Elkhyat

Publikováno v: Skin Research and Technology
Skin Research and Technology, Wiley, 2008, 14 (3), pp.327-35. ⟨10.1111/j.1600-0846.2008.00299.x⟩

International audience; BACKGROUND/PURPOSE: Studies about the adaptation of ethnic types of skin to an environment radically different from their original environment are rarely found in the literature. We have evaluated the differences in the skin s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab03104ab09263fda1a7cec1d418fe54
https://www.hal.inserm.fr/inserm-00483427

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Mixed-effect statistics for group analysis in fMRI: a nonparametric maximum likelihood approach

Autor: Sébastien Mériaux, Merlin Keller, Bertrand Thirion, Alexis Roche

Publikováno v: NeuroImage
NeuroImage, Elsevier, 2007, 38 (3), pp.501-10. ⟨10.1016/j.neuroimage.2007.06.043⟩
NeuroImage, 2007, 38 (3), pp.501-10. ⟨10.1016/j.neuroimage.2007.06.043⟩

International audience; This technical note describes a collection of test statistics accounting for estimation uncertainties at the within-subject level, that can be used as alternatives to the standard t statistic in one-sample random-effect analys

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4554c4303b84263a60f454ef3934f9a5
https://hal-cea.archives-ouvertes.fr/cea-00333625

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Knowledge construction from time series data using a collaborative exploration system

Autor: Catherine Garbay, Thomas Guyet, Michel Dojat

Publikováno v: Journal of Biomedical Informatics
Journal of Biomedical Informatics, 2007, 40 (6), pp.672-687. ⟨10.1016/j.jbi.2007.09.006⟩
Journal of Biomedical Informatics, Elsevier, 2007, 40 (6), pp.672-687. ⟨10.1016/j.jbi.2007.09.006⟩
Journal of Biomedical Informatics, Elsevier, 2007, 40 (6), pp.672-87. ⟨10.1016/j.jbi.2007.09.006⟩
Journal of Biomedical Informatics, 2007, 40 (6), pp.672-87. ⟨10.1016/j.jbi.2007.09.006⟩

International audience; This paper deals with the exploration of biomedical multivariate time series to construct typical parameter evolution or scenarios. This task is known to be difficult: the temporal and multivariate nature of the data at hand a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6544c62ca091cd55321e5714fadd890f
https://pubmed.ncbi.nlm.nih.gov/17988953

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