Results 281 to 290 of about 2,181,553 (341)

On the substructure controls in rare variant analysis: Principal components or variance components?

Yiwen Luo, Arnab Maity, Michael C. Wu, Christopher R. Smith, Qing Duan, Yun Li, Jung‐Ying Tzeng   +6 more
openalex   +1 more source

Monitoring of circulating tumor DNA allows early detection of disease relapse in patients with operable breast cancer

Molecular Oncology, EarlyView.
Monitoring circulating tumor DNA (ctDNA) in patients with operable breast cancer can reveal disease relapse earlier than radiology in a subset of patients. The failure to detect ctDNA in some patients with recurrent disease suggests that ctDNA could serve as a supplement to other monitoring approaches.
Kristin Løge Aanestad, Marie Austdal, Oddmund Nordgård, Gunnar Mellgren, Satu Oltedal, Marie L. Austbø, Ylva H. Vignes, Thomas Helland, Kristin Jonsdottir, Tone H. Lende, Emilius A. M. Janssen, Bjørnar Gilje, Kjersti Tjensvoll, PBCB study group, Gunnar Mellgren, Tone Hoel Lende, Anette Heie, Kristin Viste, Anita Røyneberg Alvheim, Emiel AM Janssen, Kristin Jonsdottir, Ann Cathrine Kroksveen, Thomas Helland, Einar Gudlaugsson, Oddmund Nordgård, Satu Oltedal, Kristin Løge Aanestad, Jan Terje Kvaløy, Kirsten Lode, Kari Britt Hagen, Marie Austdal, Ylva H. Vignes, Siri Tungland Sola, Nina Egeland Amundsen, Finn Magnus Eliassen, Emeritus Ernst A Lien   +35 more
wiley   +1 more source

LINC01116, a hypoxia‐lncRNA marker of pathological lymphangiogenesis and poor prognosis in lung adenocarcinoma

Molecular Oncology, EarlyView.
The LINC01116 long noncoding RNA is induced by hypoxia and associated with poor prognosis and high recurrence rates in two cohorts of lung adenocarcinoma patients. Here, we demonstrate that besides its expression in cancer cells, LINC01116 is markedly expressed in lymphatic endothelial cells of the tumor stroma in which it participates in hypoxia ...
Marine Gautier‐Isola, Rafael Lopes Goncalves, Marin Truchi, Caroline Lacoux, Célia Scribe, Hugo Cadis, Laetitia Guardini, Sophie Bekisz, Marius Ilié, Paul Hofman, Georges Vassaux, Bernard Mari, Roger Rezzonico   +12 more
wiley   +1 more source

Genotype × environment interaction analysis of multi-location trial data of sugarcane using variance components and Perkins & Jink model

Ram Kumar Choudhary, Ranjan LM, D. N. Kamat, Kala Krishna, Shiv Kumar Choudhary   +4 more
openalex   +2 more sources

Heritability and Variance Component Estimates of Meat Quality in Japanese Quail (Coturnix coturnix japonica)

, 2009
Yakut Gevrekçi, İsmail OĞUZ, Mustafa AKŞİT, Alper ÖNENÇ   +3 more
openalex   +1 more source

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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

Nonlinear Regression With Variance Components

Journal of the American Statistical Association, 1992
Abstract The nonlinear model with variance components, which combines a nonlinear model for the mean with additive random effects, is applicable to split-plot and nested experiments. We propose two methods of estimation for the parameters of the nonlinear model for the mean: (1) estimated generalized least squares (EGLS), and (2) maximum likelihood ...
Marcia L. Gumpertz, Sastry G. Pantula
openaire   +1 more source

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 component models

2009
Abstract In this chapter we consider GLMs with shared random effects arising through variance component or repeated measures structure, for example, in two-stage sample designs, or longitudinal data. As we will see, the analysis of these models parallels closely that for overdispersion models, with slightly greater complexity in the EM ...
Murray Aitkin, Brian Francis, John Hinde, Ross Darnell   +3 more
openaire   +1 more source