Results 71 to 80 of about 6,446,441 (278)
Genomic Prediction of Manganese Efficiency in Winter Barley
Manganese efficiency is a quantitative abiotic stress trait controlled by several genes each with a small effect. Manganese deficiency leads to yield reduction in winter barley ( L.). Breeding new cultivars for this trait remains difficult because of the
Florian Leplat, Just Jensen, Per Madsen
doaj +1 more source
Bias in Random Forest Variable Importance Measures: Illustrations, Sources and a Solution [PDF]
Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and related scientific fields, for instance to select a subset of genetic markers ...
Zeileis, Achim +11 more
core +1 more source
We use lysine‐to‐glutamine mutations to study the effect of electrostatics on the kinetics and thermodynamics of alpha‐synuclein amyloid fibril formation. We find that mutational effects map on their structural context within fibrils and identify residues that modulate the energy landscape of alpha‐synuclein self‐assembly. Our work outlines a scalable,
Antonin Kunka +10 more
wiley +1 more source
Engineered Transformer Base Editor with Enhanced Editing Efficiency
A highly efficient transformer base editor system achieves robust genomic editing in a humanized mouse model. This work establishes a versatile and translatable platform, opening new avenues for precision gene therapy. ABSTRACT Canonical cytosine base editors (CBEs) achieve precise C‐to‐T conversions without inducing DNA double‐strand breaks (DSBs ...
Bowen Chen +5 more
wiley +1 more source
A matrix approach to determine optimal predictors in a constrained linear mixed model
For a general vector of all unknown vectors in a constrained linear mixed model (CLMM), this study compared the dispersion matrices of the best linear unbiased predictors with any symmetric matrix for determining the optimality of predictors among others.
Güler Nesrin, Büyükkaya Melek Eriş
doaj +1 more source
Small Area Estimation Using a Spatio-Temporal Linear Mixed Model
In this paper it is proposed a spatio-temporal area level linear mixed model involving spatially correlated and temporally autocorrelated random effects.
Luís N. Pereira , Pedro S. Coelho
doaj +1 more source
TP53 Loss Elevates NF‐κB‐IFN‐β‐MHC‐Ia Signaling to Promote NK Cell Resistance in Osteosarcoma
TP53 loss in a transforming or osteosarcoma cell promotes cytosolic DNA accumulation, activating NF‐κB‐dependent IFN‐β production. Autocrine IFN‐β signaling increases cell‐surface HLA‐Ia expression, strengthens inhibitory KIR signaling in natural killer cells, and thereby enables the affected cell to evade NK cell‐mediated cytotoxicity.
Guihui Qin +9 more
wiley +1 more source
scGEN combines attribute–structure encoding, adaptive hard‐sample weighting, and regularized zero‐inflated negative binomial loss to resolve ambiguous single‐cell states. In the developing human pituitary, refined annotations reveal Pre.Gonado cells at 7 weeks and previously obscured developmental communication networks.
Fang Huang +16 more
wiley +1 more source
Linear mixed models for series of variety trials [PDF]
When using linear mixed models for analysis of series of variety trials, the statistical inference space is dependent on the design of the series. In this paper, four inference spaces are recognized for one-year crop variety trials: single-year local ...
Forkman, Johannes
core +1 more source
MEAN SQUARED ERRORS OF SMALL AREA ESTIMATORS UNDER A UNIT-LEVEL MULTIVARIATE MODEL [PDF]
This work deals with estimating the vector of means of characteristics of small areas. In this context, a unit level multivariate model with correlated sampling errors is considered.
Isabel Molina, Amparo Baillo
core

