Optimal design for estimating parameters of the 4-parameter hill model.
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Characterization of a new chronic lymphocytic leukemia cell line for mechanistic in vitro and in vivo studies relevant to diseaseQuantitative high-throughput screening data analysis: challenges and recent advancesTemporal Data Set Reduction Based on D-Optimality for Quantitative FLIM-FRET Imaging.Efficiency of immunotoxin cytotoxicity is modulated by the intracellular itinerary.Resistance to the translation initiation inhibitor silvestrol is mediated by ABCB1/P-glycoprotein overexpression in acute lymphoblastic leukemia cells.Evaluation of Drug Concentrations Delivered by Microiontophoresis.Novel approach to characterization of combined pharmacodynamic effects of antimicrobial agents.Optimal designs based on the maximum quasi-likelihood estimator.Augmented simvastatin cytotoxicity using optimized lipid nanocapsules: a potential for breast cancer treatment.Multiple-Objective Optimal Designs for Studying the Dose Response Function and Interesting Dose Levels.
P2860
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P2860
Optimal design for estimating parameters of the 4-parameter hill model.
description
2003 nî lūn-bûn
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2003年の論文
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2003年学术文章
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2003年学术文章
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2003年学术文章
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2003年学术文章
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2003年学术文章
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2003年学术文章
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2003年學術文章
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name
Optimal design for estimating parameters of the 4-parameter hill model.
@en
Optimal design for estimating parameters of the 4-parameter hill model.
@nl
type
label
Optimal design for estimating parameters of the 4-parameter hill model.
@en
Optimal design for estimating parameters of the 4-parameter hill model.
@nl
prefLabel
Optimal design for estimating parameters of the 4-parameter hill model.
@en
Optimal design for estimating parameters of the 4-parameter hill model.
@nl
P2093
P2860
P1476
Optimal design for estimating parameters of the 4-parameter hill model.
@en
P2093
Hélène Faessel
Laurence Levasseur
Leonid A Khinkis
William R Greco
P2860
P304
P356
10.1080/15401420390249925
P577
2003-07-01T00:00:00Z