Results 111 to 120 of about 179,787 (326)
Estimates of genetic parameters and prediction of additive genetic values in Pinus kesya progenies. [PDF]
, 2016 The objeetive ofthis study was to seleet Pinus kesya prog enies by lhe estimation of g enetic p arameters using lhe method of restricted maximum likelihood (Remi) and prediction of additive genetic values by the best linear unbiased prediction (Blup ...
DIAS, L. A. dos S. +4 more
core
Best Linear Unbiased Prediction with Additive Main and Multiplicative Interaction for Stability Analysis of Barley Genotypes Evaluated in Coordinated Program [PDF]
, 2021 Ajay Verma +4 more
openalex +1 more source
Advanced Science, EarlyView.SummaryThis study constructs a single‐cell immune atlas of Nile tilapia across multiple time points during Streptococcus agalactiae infection, revealing dynamic immune cell responses and subtype transitions. It identifies a conserved IFNr‐STAT1‐IL8 axis driving il8+ neutrophils activation and antibacterial function, supported by cross‐species ...
Xue Zhai +14 more
wiley +1 more source
"Prediction in Multivariate Mixed Linear Models" [PDF]
The multivariate mixed linear model or multivariate components of variance model with equal replications is considered.The paper addresses the problem of predicting the sum of the regression mean and the random e ects.When the feasible best linear ...
M. S. Srivastava, Tatsuka Kubokawa
core
Transformed-linear prediction for extremes
, 2022 We consider the problem of performing prediction when observed values are at their highest levels. We construct an inner product space of nonnegative random variables from transformed-linear combinations of independent regularly varying random variables.
Cooley, Daniel, Lee, Jeongjin
core
Advanced Science, EarlyView.ICAM1 antibody‐bound ICG triggers tumor‐specific, caspase‐1‐independent pyroptosis via CTSS‐mediated GSDMD cleavage, activates antitumor immunity, and synergizes with anti–PD‐1 therapy, offering a non‐apoptotic strategy to overcome resistance in cancer treatment.
Fan Chen +17 more
wiley +1 more source
Advanced Science, EarlyView.SGCD presents a novel approach for tissue spatial domain identification by employing interpolation to estimate inter‐spot gene expression and deconvolution to resolve cell‐type composition in both sampled and interstitial regions. By integrating gene expression, cell type, and spatial coordinates within a graph contrastive learning framework, SGCD ...
Tianjiao Zhang +7 more
wiley +1 more source
Epilepsia Open, EarlyView., 2022 Abstract The International League Against Epilepsy/American Epilepsy Society (ILAE/AES) Joint Translational Task Force established the TASK3 working groups to create common data elements (CDEs) for various aspects of preclinical epilepsy research studies, which could help improve the standardization of experimental designs.
Erwin A. van Vliet +9 more
wiley +1 more source
About predictions in spatial autoregressive models: Optimal and almost optimal strategies [PDF]
We address the problem of prediction in the classical spatial autoregressive lag model for areal data. In contrast with the spatial econometrics literature, the geostatistical literature has devoted much attention to prediction using the Best Linear ...
Goulard, Michel +2 more
core +1 more source
Analysis of Optimal Prediction Under Stochastically Restricted Linear Model and Its Subsample Models
AxiomsThis paper provides a study on optimal prediction problems in a linear model and its subsample models with linear stochastic restrictions, using matrix theory for precise analytical solutions.
Nesrin Güler
doaj +1 more source