Results 181 to 190 of about 48,815 (295)
Accuracy of genomic selection: Comparing theory and results
Deterministic predictions of the accuracy of genomic breeding values in selection candidates with no phenotypes have been derived based on the heritability of the trait, number of phenotyped and genotyped animals in the reference population where the ...
Goddard, M E +8 more
core
An optimized single‐cell transcriptomic framework profiles over 60 000 cells to map the ovine rumen microbiome, partitioning the ecosystem into seven cross‐species functional clusters. In heat‐resistant hosts, a lineage‐specific metabolic shift in Anaerovibrio lipolyticus toward a highly glycolytic phenotype contributes to a “nutritional sparing ...
Sanbao Zhang +8 more
wiley +1 more source
Accuracy of genomic prediction for milk production traits in Mehsana buffalo. [PDF]
Patel MR +7 more
europepmc +1 more source
This study identifies RNA‐binding protein RBM25 as a broad‐spectrum antiviral factor acting independently of type I interferon. It blocks viral entry by suppressing GTPase Rab22a via the RC3H1‐mediated destabilization of Rab22a mRNA. Viral downregulation of RBM25 enhances GTPase Rab22a expression and viral entry, revealing an unreported post ...
Yingying Ding +13 more
wiley +1 more source
Genomic prediction via reaction norm models for pregnancy loss using temperature humidity index in brahman cattle. [PDF]
Cardona-Cifuentes D +8 more
europepmc +1 more source
Genomic Selection in Preliminary Yield Trials in a Winter Wheat Breeding Program
Genomic prediction (GP) is now routinely performed in crop plants to predict unobserved phenotypes. The use of predicted phenotypes to make selections is an active area of research.
Jarquin, Diego +7 more
core
CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang +11 more
wiley +1 more source
Ensemble-based genomic prediction for maize flowering time improves prediction accuracy and reveals novel insights into trait genetic variation. [PDF]
Tomura S +3 more
europepmc +1 more source
Decoupling biological signals from unwanted variation in multi‑condition single‑cell RNA sequencing data remains challenging. CAPER disentangles condition‑associated biological effects from sample heterogeneity through matrix factorization, producing interpretable latent factors and a batch‑corrected expression matrix.
Ye Li +6 more
wiley +1 more source
Study of survival of Holstein cattle of Iran using random regression and single-step BLUP. [PDF]
Afrazandeh M, Tourchi JJ, Kazemi A.
europepmc +1 more source

