Results 251 to 260 of about 817,120 (303)

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

open access: yesMolecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq   +8 more
wiley   +1 more source

Astrocyte heterogeneity in brain metastases

open access: yesMolecular Oncology, EarlyView.
Astrocytes emerge as pivotal regulators of metastatic colonization, survival, immune remodeling, and therapy response associated with an increasing heterogeneity that requires spatially and longitudinally resolved approaches to uncover regulatory programs and guide context‐specific therapies.
Carolina Hernández‐Oliver   +2 more
wiley   +1 more source

Variance components for discordances

Mathematical Biosciences, 1992
Tests for biotyping isolates give a result that is classified as either positive or negative, indicative of growth or nongrowth of bacteria. The reproducibility of such tests is measured by the number of discordances in replicates of the same measurement.
Z, Jiao, K M, Matawie, C A, McGilchrist
openaire   +2 more sources

On estimation of variance components*

Statistica Neerlandica, 1980
SummaryIn this survey paper the estimation of variance components is given. The least squares approach in variance component estimation is a unifying principle which includes the analysis of variance estimators and the MINQUE. When normality is assumed the maximum likelihood estimators can be used. Many variance component estimators are not permissible
openaire   +3 more sources

Components of variance: a miscellany

Statistical Methods in Medical Research, 1998
Some general issues connected with components of variance are reviewed. These include matters of definition, of formal inference in a normal-theory context, of goodness of fit, and of simple methods for unbalanced data.
openaire   +2 more sources

COMPONENTS OF VARIANCE MODELS WITH TRANSFORMATIONS

Australian Journal of Statistics, 1996
SummaryPower transformations are a popular way to improve the agreement between the observations and the assumptions in a statistical model. In this paper it is assumed that the data, after appropriate power transformation Λ, satisfies a variance components model, with independent Gaussian components. The focus is on inference for quantities which have
Taylor, Jeremy M. G.   +2 more
openaire   +1 more source

Consistency of Estimates of Variance Components

Biometrics, 1951
THE ESTIMATION OF VARIANCE COMPONENTS has important applications in genetic research, and geneticists were among the first to use analysis of variance extensively for that purpose. Early examples of component estimation in genetics are contained in papers by Lush et al. (1934), Bywaters (1937), and Stonaker and Lush (1942).
R E, COMSTOCK, H F, ROBINSON
openaire   +2 more sources

Nonlinear Component of Variance Models

Biometrika, 1992
SUMMARY General aspects of nonlinearity in the context of component of variance models are discussed, and two special topics are examined in detail. Firstly, simple procedures, both formal and informal, are proposed for describing departures from normal-theory linear models.
Solomon, P. J., Cox, D. R.
openaire   +2 more sources

Variance-Importance of System Components

IEEE Transactions on Reliability, 1982
The paper defines the variance-importance of a component as the product of a relative sensitivity coefficient of component variance and the variance of component-unreliability estimate. Variance-importance is useful for identifying components that appreciably contribute to the uncertainty of system unreliability.
Nakashima, Kyoichi, Yamato, Kazuharu
openaire   +2 more sources

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