Results 141 to 150 of about 3,495,066 (309)
Advanced Science, EarlyView.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
GeNetFormer: Transformer-Based Framework for Gene Expression Prediction in Breast Cancer
AIBackground: Histopathological images are often used to diagnose breast cancer and have shown high accuracy in classifying cancer subtypes. Prediction of gene expression from whole-slide images and spatial transcriptomics data is important for cancer ...
Oumeima Thaalbi, Moulay A. Akhloufi
doaj +1 more source
Advanced Science, EarlyView.A pneumatically actuated multi‐tissue microphysiological system is integrated with AI‐based machine vision and automatic sampling and replenishment systems. The platform allows for the emulation of translationally relevant long‐term pharmacokinetic exposure scenarios for multiple weeks while enabling longitudinal monitoring of response biomarkers ...
Jibbe Keulen +15 more
wiley +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
Multiscale Circuit Architecture Associated With Memory Dysfunction in Temporal Lobe Epilepsy
Advanced Science, EarlyView.A multiscale precision‐mapping framework reveals that memory impairment in temporal lobe epilepsy arises from the convergence of focal medial temporal pathology, strategic white matter disconnection, and limbic‐centered metabolic network dysfunction.
Jiajie Mo +12 more
wiley +1 more source
Robust continuum regression. [PDF]
Several applications of continuum regression to non-contaminated data have shown that a significant improvement in predictive power can be obtained compared to the three standard techniques which it encompasses (Ordinary least Squares, Principal ...
Croux, Christophe +3 more
core
High Tree Species Diversity Promotes Thermal Enhancement Response of Microbial Carbon Use Efficiency
Advanced Science, EarlyView.ABSTRACT Predicting soil carbon dynamics under warming is constrained by limited understanding of microbial thermal adaptation, particularly whether microbial carbon use efficiency (CUE) can adapt to warming and how plant diversity modulates this response. Using soils from a natural tree species diversity gradient in a subtropical forest, we combined a
Pengpeng Duan +11 more
wiley +1 more source
A multivariate adaptive trimmed likelihood algorithm [PDF]
, 2005 The research reported in this thesis describes a new algorithm which can be used to robustify statistical estimates adaptively. The algorithm does not require any pre-specified cut-off value between inlying and outlying regions and there is no ...
Schubert, Daniel
core
Advanced Science, EarlyView.A highly sensitive SERS‐based platform measures PD‐L1 expression on EpCAM+ circulating EVs from cancer patients undergoing immunotherapy. Monitoring dynamic changes after treatment reveals that reduced EpCAM+ EV PD‐L1 levels associate with improved long‐term clinical outcomes, establishing a non‐invasive approach for tracking immune checkpoint ...
Byeonggeol Mun +15 more
wiley +1 more source
Advanced Science, EarlyView.Frequent sweetened beverage consumption is associated with accelerated biological aging in a large Chinese population. Five gut microbial genera are consistently enriched in both frequent sweetened beverage consumers and individuals with accelerated aging and show significant mediating effects, suggesting a potential microbiota‐related pathway linking ...
Yuwei Shi +14 more
wiley +1 more source