Results 81 to 90 of about 16,379,393 (306)

Decoding the dynamic extracellular matrix in cancer—3D models and bioscaffolds rewire the rules of tumor progression

FEBS Letters, EarlyView.
Cancer progression is regulated by the dynamic matrix code of the tumor microenvironment, which influences cellular behavior and disease development. Importantly, matrix remodeling in three‐dimensional cancer models more accurately reflects in vivo conditions compared to conventional two‐dimensional systems.
Sylvia Mangani, Konstantinos Spanopoulos, Zoi Piperigkou, Nikos K. Karamanos   +3 more
wiley   +1 more source

Some Properties of Multiresponse D-Optimal Designs

Journal of Mathematical Analysis and Applications, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

On the Smith normal form of D-optimal designs

Linear Algebra and its Applications, 1996
A \((2v\times 2v)\)-matrix with entries from \(\{-1, 1\}\) is called a \(D\)-optimal design of order \(2v\) if it has maximum determinant in the class of all matrices of this type. The authors study the Smith normal form (SNF) of designs in order to have sufficient conditions that two designs are not permutation-equivalent.
Koukouvinos, Christos, Mitrouli, M., Seberry, Jennifer   +2 more
openaire   +3 more sources

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

Efficient D-optimal designs under multiplicative heteroscedasticity. [PDF]

In optimum design theory designs are constructed that maximize the information on the unknown parameters of the response function. The major part deals with designs optimal for response function estimation under the assumption of homoscedasticity.
Goos, Peter, Tack, Lieven, Vandebroek, Martina   +2 more
core  

New orders of 2k factorial designs generated by simulated annealing adapted to optimality criteria

Acta Scientiarum. Agronomy
Excessive changes in factor levels can lead to a high cost in practice and hinder the conduction of experiments, in addition to adding a higher computational cost and loss of the orthogonality property, resulting in numerical problems in estimating the ...
Allan Alves Fernandes, Renato Ribeiro de Lima, Fortunato Silva de Menezes, Diana Del Rocío Rebaza Fernández, Marcelo Angelo Cirillo   +4 more
doaj   +1 more source

Structure‐forward targeting of claudins with synthetic binders

FEBS Letters, EarlyView.
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley   +1 more source

On the number of support points of maximin and Bayesian D-optimal designs in nonlinear regression models [PDF]

We consider maximin and Bayesian D-optimal designs for nonlinear regression models. The maximin criterion requires the specification of a region for the nonlinear parameters in the model, while the Bayesian optimality criterion assumes that a prior ...
Dette, Holger, Braess, Dietrich
core  

D-optimally Lack-of-Fit-Test-efficient Designs and Related Simple Designs

Austrian Journal of Statistics, 2016
In practice it is often more popular to use a uniform than an optimal design for estimating the unknown parameters of a linear regression model. The reason is that the model can be checked by a uniform design but it cannot be checked by an optimal design
Wolfgang Bischoff
doaj   +1 more source

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

FEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source