Results 151 to 160 of about 10,032,701 (265)
Molecular Glue Degraders in Early Development for Cancer Therapy
ABSTRACT Molecular glue degraders are an emerging class of small molecule allosteric modulators that induce or stabilize protein‐protein interactions, enabling targeted degradation of previously intractable proteins. By redirecting E3 ligases to recognize neosubstrates, proteins that are not typically recognized by a specific E3 ubiquitin ligase, they ...
E. Sila Ozdemir +4 more
wiley +1 more source
Non-linear kernel methods for genomic prediction of soybean yield and quality in multi-environment trials. [PDF]
Paiva WAL +5 more
europepmc +1 more source
UNCERTAINTY UNDER A MULTIVARIATE NESTED-ERROR REGRESSION MODEL WITH LOGARITHMIC TRANSFORMATION [PDF]
Assuming a multivariate linear regression model with one random factor, we consider the parameters defined as exponentials of mixed effects, i.e., linear combinations of fixed and random effects.
Isabel Molina
core
A physics‐informed machine learning framework is established for phase prediction in FeNiCoCrAlCu HEA. Limited experimental data are expanded through GMM‐based augmentation, followed by descriptor calculation, Pearson‐PCA feature optimization, stacking ensemble classification, and SHAP interpretation, enabling accurate phase identification and ...
Ruixiao Zhang +5 more
wiley +1 more source
Genetic dissection of southern corn leaf blight resistance in sweet corn through genome-wide association studies and genomic selection. [PDF]
Lantican DV +9 more
europepmc +1 more source
ABSTRACT Purpose To compare the dependence on b‐value of the spherical harmonic powers for the diffusion MRI signal in white matter to theoretical predictions from the stick model of water diffusion within axons. Methods Diffusion MRI data were acquired at 3 T in three healthy adults with 10 b‐value shells (b = 1000–10 000 s/mm2) and 64 directions per ...
Hunter G. Moss +2 more
wiley +1 more source
Finlay-Wilkinson random regression for yield and yield stability prediction in cereals. [PDF]
Sandro P +4 more
europepmc +1 more source
ABSTRACT This paper presents a synthetic rock mass (SRM) methodology to investigate the influence of fracture volumetric intensity (P32$P_{32}$) on the strength anisotropy of foliated rock masses containing non‐persistent fracture sets. The approach integrates UAV‐based discontinuity mapping, discrete fracture network (DFN) modeling, and lattice‐spring
G. G. de Magalhães +2 more
wiley +1 more source
Genomic best linear unbiased prediction using differential evolution
In this paper we proposed a method to improve the accuracy of prediction of genomic best linear unbiased prediction (GBLUP). In GBLUP a genomic relationship matrix (GRM) is used to define the variance-covariance relationship between individuals and is ...
Lee, H K +6 more
core

